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Location: New York, NY, Springfield, MA or Boston, MA The Opportunity The Team The Valuation Modeling Team helps to protect the long-term interests of policyholders by ensuring MassMutual is positioned to meet its future obligations. Responsible for over $100 billion in direct statutory reserves, the team performs statutory, GAAP/LDTI and tax valuation on Par Whole Life, Term, UL and VUL products. Our work affects regulatory compliance, strategic decision-making and inforce management. For those interested in modeling, interpreting, and communicating financial results in a collaborative team environment, this is an exciting role. The Impact: • Apply deep modeling expertise to all phases of input, processing, and output of valuation projections in Axis, • Utilize modeling acumen to execute complex projects such as Cash Flow Testing, new product implementations, assumption change, and structural model updates, • Deliver and explain Stat, Tax and GAAP financial results., • Develop and improve existing control and versioning methodology in valuation models, • Improve efficiency by leveraging communication skills with internal and external technology partners, • Apply knowledge of life insurance products and regulations to navigate complexity, ambiguity, and limitations in valuation software, • Work directly with various audit stakeholders to demonstrate compliance with regulatory and model governance standards, • Demonstrate agility in responding to stakeholder questions and unexpected results, often at times of peak activity and tight deadlines The Minimum Qualifications • Bachelor's degree in actuarial science, mathematics, statistics, data science, computer science, engineering, or a related quantitative or technical field., • ASA designation, • 4+ years of actuarial experience within insurance, financial services, or a related quantitative field., • 1+ years of experience with Axis The Ideal Qualifications • FSA designation, • 4+ years of experience with Axis, including model leadership or stewardship roles, • Demonstrated accountability and ownership of long-term independent projects, • Proficient with Axis features such as DataLink, investment cells, scenario files, and embedded block processing, • Understanding of modeling infrastructure such as ELink, GridLink, and output databases, • Expertise with identifying multiple solutions to a problem, and developing collaborative solutions to software limitations, • Ability to estimate resource requirements and set expectations with key stakeholders for highly visible projects, • Experience with Principle-Based Reserves, valuation regulations, product design, modeling assumptions, and inforce policy data, • Proficient with model-supported software such as MS Excel and SQL., • Strong math, analytical and collaboration skills, • Strong communication skills, both written and verbal, • Continuous improvement mindset, • Ability to build and maintain strong working relationships across cross-functional groups What to Expect as Part of MassMutual and the Team • Regular meetings with the Life Valuation Team, • Focused one-on-one meetings with your manager, • Access to mentorship opportunities, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefitsMassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Overview: About Us Matrix Medical Network pioneered the first national in-home clinical network, and today we’re an independent provider of comprehensive health assessments serving people across the nation. We deliver exceptional, personalized care that improves health, lowers costs, and empowers people to live their best lives. With deep roots in clinical assessment and care management services, our national network of clinicians breaks through traditional barriers to care by meeting those members wherever they call home. We help older adults and other at-risk individuals enjoy a better quality of care, experience improved health outcomes, and identify chronic conditions that may otherwise go undiagnosed. Our job opportunities allow you to leverage your expertise and compassion to make a direct impact on the health and well-being of others. Join our team and be rewarded with competitive compensation and flexible scheduling while making a difference in the community! Responsibilities: About the Role During a visit that can last up to one hour, Matrix providers review and observe a member’s current health, medical history, medication adherence, social environment and other risks. This provides unmatched insight into a member’s overall health and well-being that can be difficult to capture during routine office visits. The Matrix Comprehensive Health Assessment (CHA) helps to improve quality of care and allows us to potentially close multiple care gaps with a single visit. Our providers: • Conduct adult / geriatric assessments to include medical history, diagnosis and treatment, health education, physician referrals, case management referrals, follow-up and clear documentation according to Matrix guidelines and protocols, • Administer and order point of care and lab-based testing as needed, • Work with physicians, case managers, social workers, family members, key caregivers, and ancillary medical personnel as appropriate, • Collaborate with Primary Care Physician (PCP) on patient education and follow up as necessary, • Provide services at the member’s place of residence which can be in their homes or Skilled Nursing Facilities Benefits of Working at Matrix • Flexibility – Visits are scheduled based on YOUR availability. We conduct assessments Sunday – Saturday from 8 am – 7 pm. You can work during the day, evening, and/or weekend based on your schedule., • Competitive Pay – Earn income based on the number of assessments you complete. Increase your earning potential by offering greater availability and traveling to see members outside your home location. Those completing a monthly average of 20 – 100 visits earn $1,800 – $11,500 per month. This is based on the per assessment completion rate range of $90 – $115 depending on your state of residence., • Benefits – Including mileage reimbursement, 401(k), employee referral bonuses, and limited voluntary benefits., • Education and Support – We invest in YOU! In addition to comprehensive onboarding training we will assign you a preceptor, provide 1:1 feedback, and offer free access to earn continuing education., • Additional Licensure – Should business need exist; we will support you in obtaining additional state licensure and credentialing in neighboring states – or others you may want to visit while completing health assessments., • Full-time (FT) Opportunities – Our PRN providers can transition to FT roles supporting their home location, or a state or region – and receive a FT sign on bonus. Qualifications: Skills & Experience That Shine • Master’s Degree or commensurate experience and satisfactory completion of NP licensure, • Current NP licensure in state of practice to include prescription authority or the ability to obtain prescriptive authority as needed, • AANP, AACN, or ANCC board certification in Adult, Adult Gerontology Primary Care, Adult Gerontology Acute Care, Family, Emergency, or Acute Care specialty, • Current BLS, ACLS or CPR certification, • 1 year of NP experience preferred, new grads encouraged to apply!, • Valid state driver's license for the state of residence, • Automobile insurance coverage requiring for the state of residence (or ability to obtain), • Bodily Injury: $100,000 per person/$300,000 per incident, • Property Damage: $50,000, • Collision and comprehensive deductibles: $1,000 or less, • Strong computer skills and familiarity with employee health/medical record software, • Excellent verbal and written communication skills The Matrix Culture • Leading With Empathy & Trust – We believe in each other, which empowers all of us to connect with purpose and transparency. We take action from a place of trusting our peers, and we always have each other’s best interests at heart., • Diversity & Inclusion – The potential of our company is based on the diversity of experiences and backgrounds of everyone who works at Matrix. That’s why we’re proud of our diverse and talented team., • Committed to Career Advancement – The strength of our company is in its people. We’re committed to career progression and fostering an environment where employees can grow and thrive. By investing in our clinical and corporate teams, we enhance individual capabilities and strengthen the organization. Matrix Medical Network is an Equal Employment Opportunity Employer. It is the policy of Matrix to provide equal employment opportunities without regard to race, color, religion, sex, gender identity or expression, pregnancy, age, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law. It is also the policy of Matrix that qualified individuals with disabilities receive equal opportunity in regard to job application procedures, hiring, and all aspects of the employment process. Matrix is committed to the full inclusion of all qualified individuals. Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of Matrix to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, pre-employment testing, to otherwise participate in the selection process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact _. #LI-Hybrid

\n \n About Us \n \n \n One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. \n In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. \n \n\n The Opportunity \n As a Certified Medical Assistant (internally known as Lab Services Specialist/Member Support Specialist) in our Jersey City office, you’ll provide an exceptional experience for our patients and help them accomplish an important part of their care journey by providing venipuncture as well as other clinical support services. You will be an ambassador for patients, with a mastery of human connection and a strong drive for service. You will remove barriers to care, resulting in a truly exceptional in-office patient experience. You are the steward of the space and ensure the look and feel of the office lobby are on brand with the One Medical experience. You will be the first point of contact for our patients, as well as provide any other support as requested by the Practice Coordinator, Operations Manager, or providers. \n You are a strong team player and use your innovative problem solving skills to tackle various tasks and challenges. You combine excellent specimen collection technique with tactful interpersonal skills during every interaction with your patients, at both the front desk and in the lab. You have a strong grasp of verbal and written communication. You are able to identify opportunities and deliver on customer-centric solutions while using empathy, focus, and compassion in all interactions with patients and teammates. You bring self-awareness to your daily work to utilize your strengths and develop your areas of opportunity. You thrive in cultures that focus on feedback and growth and are nimble in their approach to respond to the needs of the patients and team. You have an unwavering drive to help and serve others and create amazing moments for our members and teammates. If this sounds like you, we would love to connect. \n What you’ll likely work on: \n\n • Use impeccable C-I-CARE (a framework containing the key elements of a great interaction and effective communication that we use with patients and each other) in all patient interactions, both clinical and administrative, and ensure a fluid and positive in-office experience through patient intake, same day schedule management, appropriate follow up scheduling, strong knowledge of billing and insurance, monitoring patient feedback and assisting with outreach as necessary\n, • Provide best in class venipuncture services on a population ranging from pediatrics to geriatrics, depending on the office location\n, • Perform and assist with extended scope duties such as, but not limited to non-blood specimen collection, EKGs/ECGs, vitals, ear lavages, vaccines, PPD tests, and swabs\n, • Maintain high standards of in-office care through proper specimen labeling, handling and processing, inventory upkeep, and tool sterilization\n, • Continue to care for our members beyond the lab room by answering patient messages, following up on lab cases and assisting our providers and virtual medical team with clerical duties such as, but not limited to biometric screening forms, medical record and consult review, billing inquiries, and DOH reporting\n, • All front of house duties including check in/check out, insurance verification, printing/paperwork tasks, prepping tests, tasking to service level expectations etc\n, • Contribute to team development through rounding, attending team huddles, participating in team problem solving, supporting in office providers with ad hoc asks, etc. \n, • Perform opening and closing duties/daily office upkeep as required, including maintaining the look and feel of both patient and employee facing spaces, restocking supplies, and organization\n, • Master our technology suite including, but not limited to Slack, G-suite, Zoom, Circulation, RingCentral, and our Electronic Medical Record System, in order to interact with team members and complete daily work\n\n These responsibilities are intended to describe the general nature and level of work being performed by personnel assigned to this job classification. They are not to be construed as an exhaustive list of job duties performed by personnel in this classification. Other job related duties may be assigned by management. \n What you’ll need: \n\n • An active Medical Assistant certification from the National Healthcareer Association (NHA), the American Association of Medical Assistants (AAMA), the National Center for Competency Testing (NCCT), the American Medical Certification Association (AMCA), the National Association for Health Professionals (NAHP), the National Certification Medical Association (NCMA), or registration from the American Medical Technologists (AMT), or any other recognized certifying body approved by the Board\n, • Graduated from a postsecondary Medical Assistant program accredited by either the Commission on Accreditation of Allied Health Education Programs (CAAHEP), the Accrediting Bureau of Health Education Schools (ABHES), another accrediting organization recognized by the United States Department of Education \n, • At least 6 months of relevant experience as a Medical Assistant or Phlebotomist outside of a training/externship environment\n, • Strong customer service skills, including ability to establish and maintain effective customer relationships and deliver customer-centric solutions\n, • Strong written and verbal communication skills \n, • A High School Diploma or equivalent \n, • Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously\n, • Experience working on collaborative, diverse, multi-disciplinary teams (additional experience with remote teams a plus) \n, • A proven ability to display confidence and instill trust during the collection process while delivering individualized, human-centered, customer-focused care \n, • A proven track record of persisting through change, consistently stepping up to take action on challenges, and learning quickly and effectively when faced with new situations or tasks\n\n One Medical is committed to fair and equitable compensation practices \n The range for this role is $24.00 to $26.00 per hour based on a standard full-time schedule. Total compensation packages may be based on factors unique to particular candidates, such as skill sets, depth of experience, and work location. The total compensation package for this position may also include benefits. For more information, visit https://www.onemedical.com/careers/ \n This is a full time role (40 hours/week) with 8 hour shifts generally taking place Monday - Friday between 7:30am-6:00pm based in our Jersey City, NJ office. \n \n\n One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: \n Taking care of you today \n \n • Paid sabbatical for every five years of service\n, • Free One Medical memberships for yourself, your friends and family\n, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues\n, • Competitive Medical, Dental and Vision plans\n, • Pre-Tax commuter benefits\n, • PTO cash outs - Option to cash out up to 40 accrued hours per year\n \n Protecting your future for you and your family \n \n • 401K match\n, • Credit towards emergency childcare\n, • Company paid maternity and paternity leave\n, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance\n, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance\n \n In addition to the comprehensive benefits package outlined above, practicing clinicians also receive \n \n • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.\n, • UpToDate Subscription - An evidence-based clinical research tool\n, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education\n, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience\n, • Discounted rate to attend One Medical’s Annual REAL primary care conference\n \n \n One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. \n One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information. \n Your work schedule could be subject to change based on business direction at any time. \n

\n \n About Us \n \n \n One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. \n In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. \n \n\n The Opportunity \n As a Certified Medical Assistant (internally known as Lab Services Specialist/Member Support Specialist) at our offices, you’ll provide an exceptional experience for our patients and help them accomplish an important part of their care journey by providing venipuncture as well as other clinical support services. You will be an ambassador for patients, with a mastery of human connection and a strong drive for service. You will remove barriers to care, resulting in a truly exceptional in-office patient experience. You are the steward of the space and ensure the look and feel of the office lobby are on brand with the One Medical experience. You will be the first point of contact for our patients, as well as provide any other support as requested by the Practice Coordinator, Operations Manager, or providers. \n You are a strong team player and use your innovative problem solving skills to tackle various tasks and challenges. You combine excellent specimen collection technique with tactful interpersonal skills during every interaction with your patients, at both the front desk and in the lab. You have a strong grasp of verbal and written communication. You are able to identify opportunities and deliver on customer-centric solutions while using empathy, focus, and compassion in all interactions with patients and teammates. You bring self-awareness to your daily work to utilize your strengths and develop your areas of opportunity. You thrive in cultures that focus on feedback and growth and are nimble in their approach to respond to the needs of the patients and team. You have an unwavering drive to help and serve others and create amazing moments for our members and teammates. If this sounds like you, we would love to connect. \n What you’ll likely work on: \n\n • Use impeccable C-I-CARE (a framework containing the key elements of a great interaction and effective communication that we use with patients and each other) in all patient interactions, both clinical and administrative, and ensure a fluid and positive in-office experience through patient intake, same day schedule management, appropriate follow up scheduling, strong knowledge of billing and insurance, monitoring patient feedback and assisting with outreach as necessary\n, • Provide best in class venipuncture services on a population ranging from pediatrics to geriatrics, depending on the office location\n, • Perform and assist with extended scope duties such as, but not limited to non-blood specimen collection, EKGs/ECGs, vitals, ear lavages, vaccines, PPD tests, and swabs\n, • Maintain high standards of in-office care through proper specimen labeling, handling and processing, inventory upkeep, and tool sterilization\n, • Continue to care for our members beyond the lab room by answering patient messages, following up on lab cases and assisting our providers and virtual medical team with clerical duties such as, but not limited to biometric screening forms, medical record and consult review, billing inquiries, and DOH reporting\n, • All front of house duties including check in/check out, insurance verification, printing/paperwork tasks, prepping tests, tasking to service level expectations etc\n, • Contribute to team development through rounding, attending team huddles, participating in team problem solving, supporting in office providers with ad hoc asks, etc. \n, • Perform opening and closing duties/daily office upkeep as required, including maintaining the look and feel of both patient and employee facing spaces, restocking supplies, and organization\n, • Master our technology suite including, but not limited to Slack, G-suite, Zoom, Circulation, RingCentral, and our Electronic Medical Record System, in order to interact with team members and complete daily work\n\n These responsibilities are intended to describe the general nature and level of work being performed by personnel assigned to this job classification. They are not to be construed as an exhaustive list of job duties performed by personnel in this classification. Other job related duties may be assigned by management. \n What you’ll need: \n\n • An active Medical Assistant certification from the National Healthcareer Association (NHA), the American Association of Medical Assistants (AAMA), the National Center for Competency Testing (NCCT), the American Medical Certification Association (AMCA), the National Association for Health Professionals (NAHP), the National Certification Medical Association (NCMA), or registration from the American Medical Technologists (AMT), or any other recognized certifying body approved by the Board\n, • Graduated from a postsecondary Medical Assistant program accredited by either the Commission on Accreditation of Allied Health Education Programs (CAAHEP), the Accrediting Bureau of Health Education Schools (ABHES), another accrediting organization recognized by the United States Department of Education \n, • At least 6 months of relevant experience as a Medical Assistant or Phlebotomist outside of a training/externship environment\n, • Strong customer service skills, including ability to establish and maintain effective customer relationships and deliver customer-centric solutions\n, • Strong written and verbal communication skills \n, • A High School Diploma or equivalent \n, • Proficiency in computer technology such as typing, navigating the internet and using multiple software systems simultaneously\n, • Experience working on collaborative, diverse, multi-disciplinary teams (additional experience with remote teams a plus) \n, • A proven ability to display confidence and instill trust during the collection process while delivering individualized, human-centered, customer-focused care \n, • A proven track record of persisting through change, consistently stepping up to take action on challenges, and learning quickly and effectively when faced with new situations or tasks\n\n One Medical is committed to fair and equitable compensation practices \n The range for this role is $25.75 to $27.75 per hour based on a standard full-time schedule. Total compensation packages may be based on factors unique to particular candidates, such as skill sets, depth of experience, and work location. The total compensation package for this position may also include benefits. For more information, visit https://www.onemedical.com/careers/ \n This is a full time float role (40 hours/week) with 8 hour shifts generally taking place Monday - Friday between 7:30am-6:00pm based in our Englewood and Edgewater, NJ offices. \n \n\n One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: \n Taking care of you today \n \n • Paid sabbatical for every five years of service\n, • Free One Medical memberships for yourself, your friends and family\n, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues\n, • Competitive Medical, Dental and Vision plans\n, • Pre-Tax commuter benefits\n, • PTO cash outs - Option to cash out up to 40 accrued hours per year\n \n Protecting your future for you and your family \n \n • 401K match\n, • Credit towards emergency childcare\n, • Company paid maternity and paternity leave\n, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance\n, • Disability insurance - One Medical pays 100% of the cost of Short Term and Long Term Disability Insurance\n \n In addition to the comprehensive benefits package outlined above, practicing clinicians also receive \n \n • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%.\n, • UpToDate Subscription - An evidence-based clinical research tool\n, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education\n, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience\n, • Discounted rate to attend One Medical’s Annual REAL primary care conference\n \n \n One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. \n One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster and Right to Work Poster for additional information. \n Your work schedule could be subject to change based on business direction at any time. \n

Machine Learning Engineer 5\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionThis position will perform routine and non-routine maintenance, diagnostic and repair work on vehicles (buses, vans etc.) which adheres to FirstGroup standards. Performs work under minimal supervision. Handles more complex problems and can resolve independently. All work is performed with a commitment to safety. May mentor or provide informal guidance to Technician I and/or Technician II. Also, may act as a Shift Foreman and may receive a shift premium.In the state of Washington, this position is considered a safety-sensitive position and is therefore subject to drug and alcohol testing, including cannabis.$28.00/hrMajor Responsibilities • Ensure vehicles are maintained and safe for our customers by performing limited repairs with minimal supervision on both basic and complex maintenance such as replacement of light bulbs, fuses, lenses, wiper blades, belts, hoses, batteries, check fluid levels, change fluids and filters and lubricate components., • Perform mechanical repairs under minimal supervision including the repair of brakes and brake inspections, engine tune-ups, suspensions, drive trains, transmission clutches and other repairs., • Maintain records of all maintenance work completed on vehicles including parts and supplies used. Ensure that work orders are completed properly and accurately. Maintain parts usage records and order repair parts from designated suppliers., • Diagnoses and performs accurately all phases of vehicle and equipment repair under minimal supervision. May perform diagnostic tests utilizing a computer and manufacturer's software to determine mechanical defects., • Lead preventative maintenance (PM's), safety maintenance inspections and annual maintenance inspections at prescribed intervals of time and usage, • Remove, overhaul and reinstallation of mechanical components with minimal Tech in Charge supervision, • Notify supervisor of potentially dangerous equipment and corrective action taken, • Evaluates completed work prior to release and seeks approval where required, • Leads road calls and emergency services as necessary, • Adhere to FirstGroup standards, policies and procedures, • Moves vehicles safely between job and work area, • Repair and maintain all shop equipment, • Other responsibilities as requested or required Minimum Education or Certifications Required • High school diploma or GED equivalent preferred; vocational or technical certification in vehicle repair (preferred), • Class B CDL with passenger endorsement required (or expected within 3 months of hire), • State inspection license (if required), • ASE Certification preferred. Must participate in ASE testing program (expected to have 6 ASE within 6 months of hire) Minimum Experience or Skills Required • Advanced mechanical aptitude and 5 years of automotive or diesel repair experience (preferred) or equivalent education and experience, • Adhere to standards set by state DOT for motor vehicle inspections and safety standards, • Valid driver's license, • Advanced problem-solving ability, • Advanced computer skills, • Comfortable using hand tools, • Excellent customer service skills and communication skills, • Ability to work independently as well as part of a team, • Maintain an organized shop and clean work environment, • Regular, predictable, full attendance is an essential function of the job, • Making sure vehicles are maintained and safe for our customers, • Possess adequate mechanic tool inventory to complete all assigned duties and maintained in a clean and safe manner Physical Requirements and Working Conditions • Maintenance Shop environment with dust, dirt and grease conditions, • Ability to work under all weather conditions, • Ability to lift a minimum of 50 pounds, • Ability to work in a crouched position or on back, lying on mechanic's creeper, beneath motor vehicle equipment Disclaimer Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. This job description reflects management's assignment of essential functions, it does not prescribe or restrict the tasks that may be assigned. First for a reason: At First Student, we are a family of 60,000+ employees who take pride in safely transporting more than 5 million students and passengers to and from their destinations each day! Our family of brands include Transco, Total Transportation, Maggies Paratransit, and GVC II. Our employees are at the forefront of safety and innovation; they create and implement the most advanced training and technology the transportation industry has to offer. In the state of Washington, all technician and driving positions, including but not limited to van drivers and any other position requiring employees to drive a company-owned vehicle, are considered safety-sensitive and are therefore subject to drug and alcohol testing, including cannabis. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. First is also committed to providing a drug-free workplace. First will consider for employment qualified applicants with criminal histories consistent with the requirements of the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Ordinance, and any other fair chance law. Philadelphia's Fair Criminal Record Screening Standards Ordinance Poster is at this link or upon request https://www.phila.gov/media/20210423160847/Fair-Chance-Hiring-law-poster.pdf. \nCompany Description About us An industry leader famous for our yellow school buses and service and safety excellence, we’ve provided student transportation services to schools for over 100 years. Continually investing in the services of the future, we’re proud to be part of FirstGroup America – the largest provider of safe, reliable and sustainable surface passenger transportation services in North America. Industry leader We safely operate more than one third of all contracted school buses in North America. Together our 50,000 school buses travel nearly 600 million miles per year — the equivalent of 1,200 round trips to the moon. We operate in around 550 locations throughout 38 U.S. states and 8 Canadian provinces. Innovation We were the first school bus company to utilize global positioning systems (GPS), so at any one time we know where all of our buses are and how fast they’re travelling. Passionate about safety, we’ve installed Safety Crossing Gates on the front of all of our school buses and use the Child Check-MateTM electronic reminder system to make sure no sleeping children remain inside a bus at the end of each route. Awards & recognition We won the Occupational Excellence Achievement Award from the National Safety Council two years in a row. Dedicated to safety, FirstGroup received the National Safety Council’s (NSC) Green Cross for Safety Medal - the highest award for safety in North America. Teamwork and trust It takes a diverse team of skilled professionals to provide a safe, effective and efficient student transportation system. From our school bus drivers and location managers to routers, dispatchers and fleet technician mechanics, the work we do every day makes a big impact on the daily lives of students, parents, local communities and school district partners. We’re very proud of our elite team of over 55,000 dedicated, caring and diverse professionals. And they are the #1 reason we’re trusted by over 1,400 school districts - more than any other provider. Everybody here plays their part in creating a positive school bus experience. Our culture We live and breathe our vision and values. They are embedded in our culture and drive our commitment to our customers and communities. Our culture fosters growth and promotes respect, reliability, responsibility and safety. And we recruit people who share these values and will work together to build strong and trusting partnerships in the communities we serve. Safety – Although our safety record is twice as safe as the industry average, we continually seek out opportunities to enhance our operational and safety initiatives. Learning – Through our learning culture that spans over 550 locations, we receive and share insight from our people to enhance our service now and in the future. Making a difference - By doing our job well, we make a positive impact on many lives – including the millions of students who travel with us every school day. Careers for all – We’re an Equal Opportunity Employer and an Employer of Choice. By consistently encouraging and supporting an open dialogue with our people and partners, we’re able to share new ideas and develop new ways to meet the needs of our customers and passengers. At First Student, you’ll feel empowered to serve your community. So join the team and start to make a difference. About us\r\nAn industry leader famous for our yellow school buses and service and safety excellence, we’ve provided student transportation services to schools for over 100 years. Continually investing in the services of the future, we’re proud to be part of FirstGroup America – the largest provider of safe, reliable and sustainable surface passenger transportation services in North America.\r\n\r\nIndustry leader\r\nWe safely operate more than one third of all contracted school buses in North America.\r\nTogether our 50,000 school buses travel nearly 600 million miles per year — the equivalent of 1,200 round trips to the moon.\r\nWe operate in around 550 locations throughout 38 U.S. states and 8 Canadian provinces.\r\n\r\nInnovation\r\nWe were the first school bus company to utilize global positioning systems (GPS), so at any one time we know where all of our buses are and how fast they’re travelling.\r\nPassionate about safety, we’ve installed Safety Crossing Gates on the front of all of our school buses and use the Child Check-MateTM electronic reminder system to make sure no sleeping children remain inside a bus at the end of each route.\r\n\r\nAwards & recognition\r\nWe won the Occupational Excellence Achievement Award from the National Safety Council two years in a row.\r\nDedicated to safety, FirstGroup received the National Safety Council’s (NSC) Green Cross for Safety Medal - the highest award for safety in North America.\r\n\r\nTeamwork and trust\r\nIt takes a diverse team of skilled professionals to provide a safe, effective and efficient student transportation system. From our school bus drivers and location managers to routers, dispatchers and fleet technician mechanics, the work we do every day makes a big impact on the daily lives of students, parents, local communities and school district partners.\r\n\r\nWe’re very proud of our elite team of over 55,000 dedicated, caring and diverse professionals. And they are the #1 reason we’re trusted by over 1,400 school districts - more than any other provider. Everybody here plays their part in creating a positive school bus experience.\r\n\r\nOur culture\r\nWe live and breathe our vision and values. They are embedded in our culture and drive our commitment to our customers and communities. Our culture fosters growth and promotes respect, reliability, responsibility and safety. And we recruit people who share these values and will work together to build strong and trusting partnerships in the communities we serve.\r\n\r\nSafety – Although our safety record is twice as safe as the industry average, we continually seek out opportunities to enhance our operational and safety initiatives.\r\nLearning – Through our learning culture that spans over 550 locations, we receive and share insight from our people to enhance our service now and in the future.\r\nMaking a difference - By doing our job well, we make a positive impact on many lives – including the millions of students who travel with us every school day.\r\nCareers for all – We’re an Equal Opportunity Employer and an Employer of Choice.\r\nBy consistently encouraging and supporting an open dialogue with our people and partners, we’re able to share new ideas and develop new ways to meet the needs of our customers and passengers. At First Student, you’ll feel empowered to serve your community. So join the team and start to make a difference.

Machine Learning Engineer 5 (IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 6 years of experience programming with Python, Java, Golang, or C++\n, • At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 5+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans\n, • 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models\n, • 4+ years of on-the-job experience with an industry recognized ML framework such as Dask or XGboost.\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences\n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) \n • \n At least 6 years of experience programming with Python, Java, Golang, or C++ \n • \n At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) \n • \n At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data \n • \n At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field \n • \n 5+ years of experience optimizing ML algorithms, configurations, and infrastructure \n • \n 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n • \n 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans \n • \n 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) \n • \n 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5\n \n New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Manager, AI Engineer (IFX)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 - Intelligent Foundations and Experiences (IFX)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description We are seeking a Fire Alarm Technician to join our Federal Systems team at our Schenectady, NY. At Johnson Controls, we support our nation’s most critical facilities, the people who occupy them, and the missions they enable. Johnson Controls Federal Systems (JCFS) is a specialized team serving as a trusted partner to the federal government. We help modernize U.S. military installations, Department of Defense and other federal agency facilities to be smarter, more resilient, efficient, sustainable, and secure. Location: Onsite in Schenectady, NY Pay Range: $30 -$34 /hour Shift: Primary hours are 7:00-3:30pm, Monday-Friday. Benefits: Eligible for benefits on first day of employment Vacation: 3 weeks of paid vacation per calendar year As a Fire Alarm Technician, you will: • Under direct supervision, completes assigned programming, commissioning, basic troubleshooting and preventive maintenance of fire alarm systems per contract obligations, • Assists experienced personnel with solutions to systems problems, either troubleshooting the system or advising others on how to resolve problems. Requires understanding of core and third party fire products, software and systems electrical technology., • Assists in performing required commissioning documentation. Provide accurate information for as-builts documentation., • Conducts testing to ensure proper operation of equipment after installation or repairs, • Adheres to safety standards and local and national codes, with a high degree of regard to employee and subcontractor safety., • Maintains appropriate local and National Fire Industry Certifications., • Read and interpret blueprints, diagrams, submittals, specifications, software/systems programs, schematics and operational product manuals, • Communicates with customer upon arrival and before leaving the work site. Continuous proactive customer interactions including an in-depth understanding of customer(s) needs wants and systems currently in place., • Completes paperwork and on site documentation as required., • Performs other duties as assigned Required Qualifications: • High School diploma or equivalent education, • Two or more years' experience with commercial fire alarm or fire suppression systems, • Ability to read and interpret blueprints, diagrams, submittals, specifications, software/systems programs, schematics and operational product manuals, • Ability to communicate effectively, orally and in writing, while establishing and maintaining cooperative working relationships., • Basic computer skills, • The ability to obtain and maintain required government security clearance to support this site required. (This involves a background/character, criminal history, employment, and credit check.) Preferred Qualifications • NICET certification, • Electronics certification from an accredited technical school or military electronics training preferred. Who We Are At Johnson Controls (NYSE:JCI), we are One Team working collaboratively to create purposeful solutions that make a difference in the world. We are a Fortune 500 company with more than 100,000 employees worldwide offering the world`s largest portfolio of building technology products, solutions and services. As a member of our Federal Systems team, your work matters. We value and recognize your contributions and want to help you succeed. We invest in our employees, provide opportunities for growth and advancement, and foster a culture of inclusion and respect. To learn more about who we are and what we do, please check out our _ video. Recently, Johnson Controls has been recognized by several organizations for leadership in Environment, Sustainability and Governance, as well as innovations in smart building platforms: • Named to _, • Corporate Knights Global _, • Named to Forbes _list, • CDP 2023 _', • Ranked 67 on the Drucker Institute’s list of _, • Forbes _, • Newsweek _, • Ethisphere 2024 _list for the 17th time, • Newsweek _, • Named to _listing, • Named to _, • Named one of the top military friendly employers by military.com. Johnson Controls is an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, genetic information, sexual orientation, gender identity, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit _ Division: JCFS (Johnson Controls Federal Systems) Job: 1559 #LI-JW2 #LI-Onsite

Sr. Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more \n • \n Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n • \n Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts \n • \n Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems \n • \n Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 1 year of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 3 years of experience managing and leading an engineering team \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang \n • \n Experience in building agentic AI systems and agentic workflows \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery \n • \n Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance \n • \n Track record mentoring engineers/scientists to productize prototypes and meet production SLOs \n • \n Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Manager, AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Manager, AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 4 (Manager, IC)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Chicago, IL: $179,400 - $204,700 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We are seeking a Product Operations Lead for a rapidly growing AI Native fintech leader in New York City. This is a hands-on role for a Product Operations leader who is comfortable working at the intersection of operations, AI, product, and technology. \n This individual will build and run scalable operating systems, implement AI-enabled tools and automation, and play a hands-on role in translating business and financial requirements into working, tested technology solutions. \n This is not a traditional strategy or oversight position. We are looking for a builder who enjoys getting into the details, building systems, solving complex problems, and driving execution from concept through implementation. \n \n The Right Fit for this role can design a financial operating model at a high level, but is equally comfortable opening the tools, examining the data, building a workflow, testing an output, identifying what isn't working, and driving the solution through completion. \n You don't simply develop AI strategies or manage technology projects. You understand how operational systems and technology actually get built and implemented, and you can demonstrate examples of what you have personally created, improved, tested, or delivered. \n This is an opportunity to have significant impact in a growing AI-Native organization and help build its operating infrastructure from the ground up. \n \n What You'll Do \n\n • Design and implement scalable operating processes and systems across a multi-location, multi-entity environment.\n, • Identify inefficient or manual workflows and improve them using AI, automation, and modern technology.\n, • Build and implement AI-enabled operational tools, including agentic workflows, custom GPTs, prompt-driven solutions, workflow automation, dashboards, and automated reporting.\n, • Develop KPIs, performance-monitoring systems, and analytics that provide leadership with real-time operational visibility.\n, • Translate operational and financial requirements into clear methodologies and business logic that can be implemented within technology platforms.\n, • Own structured build and release tracking, including backlog triage, ownership, priorities, dependencies, blockers, and escalations.\n, • Partner closely with Product and Technology to sequence technical work based on business priorities, dependencies, and deployment readiness.\n, • Maintain sufficient familiarity with GitHub/git-based development environments to understand repository activity, branches, commits, and build status.\n, • Personally test new functionality against defined acceptance criteria and help determine when solutions are truly ready for deployment.\n, • Create repeatable operating playbooks and processes that support growth and the integration of new business units or partners.\n, • Establish a strong operating cadence across leadership and cross-functional teams.\n, • Drive continuous improvement through experimentation, data, automation, and feedback loops.\n\n \n Skills and Experience \n\n • 7+ years of experience in AI/operations, technical program management, business operations, or a related operating role. Start up experience strongly preferred.\n, • Demonstrated experience building and standardizing operational systems in a complex or scaling organization.\n, • Strong hands-on AI fluency, including experience with agentic workflows, custom GPTs, prompt design, workflow automation, and systems integration.\n, • A track record of personally using technology to eliminate manual work and improve operational performance.\n, • Experience owning a structured backlog, issue-tracking, or build-governance process using tools such as Jira, Notion, Linear, or similar platforms.\n, • Strong quantitative and financial aptitude, including experience developing operational or financial calculations, models, or methodologies.\n, • Ability to work effectively with Product and Engineering teams and understand technical dependencies and build status.\n, • Strong analytical, systems-thinking, and problem-solving skills.\n, • Comfortable working directly in the details rather than primarily managing large teams or outside consultants.\n, • Ability to move quickly from problem → methodology → build → testing → implementation → measurable impact.\n\n \n Nice to Have: Working knowledge of GitHub/git and software development workflows. Experience in a high growth SaaS, PaaS, fintech/tech financial services, accounting or vertical AI environment. Operational transformation and experience building AI enabled productivity, reporting, or decision support tools.

Do you have a technical knack for resolving issues hidden within the intricate circuits of professional production equipment? When others see a broken or malfunctioning camera, do you see a puzzle waiting to be solved? If so, ActionLink wants YOU to join our Sony Account Technical Service Division and dive into the latest technological advancements in digital imaging! Position Overview The Repair Technician will troubleshoot and repair customer-owned Sony equipment focusing on the evaluation and repair of professional camcorders, ENG (Electronic News Gathering), and cinema, film, and production type equipment. The role also requires completion of related administrative tasks, which will include some data entry of evaluation findings and part numbers along with completion of work orders for assigned jobs. As our Sony Repair Technician, you will interact with diverse, passionate photographers and production professionals who entrust their beloved gear to you. Your empathy, expert know-how, and communication skills will make their day. Schedule & Location • Schedule: Monday - Friday 7am -4pm, • Location: Sony Electronics Pro Solutions Depot at 115 W Century Rd, Paramus, NJ 07652 US What We Offer • Share your Sony enthusiasm: Represent a leading global innovator in digital imaging, • Experience-Driven Earnings: $27.61 - $33.00 hourly pay, • You're eligible for perks: Medical, dental, vision, life, and prescription insurance plans, • W2 employment: Weekly pay schedule, utilizing direct deposit, • 401(k) retirement savings plan with company match: Secure your financial future! Paid time off and paid holidays: Take a break and recharge with family and friends! Duties • Troubleshoot, diagnose, and repair electronic & camera products correctly, • Meet customer demands by providing efficient and responsive service support to client products, • Maintain performance levels that are aligned with service metrics, • Use dedicated testing and service equipment, • Related administrative tasks such as data entry of evaluation findings, • Report and record keep product failures, trends, and serviceability, • Additional duties as assigned Qualifications • Minimum 2 years of experience in the hands-on repair and service of electronic equipment, preferably professional photo/video servicing, • Associate degree in electronics or with emphasis on electronic equipment a plus, • Proficient knowledge of digital and analog circuitry, • Knowledge and use of sophisticated test equipment in the repair process, • Ability to read and interpret electronic schematics, • Experience in precision soldering, • Demonstrated basic skills with precision hand tools and test equipment, • Knowledgeable of ESD (Electrostatic Discharge) procedures or willing to learn, • Good working knowledge of basic PC skills, including Microsoft Excel, Word and standard software applications, • Excellent communication and customer service skills Physical Requirements • Able to use a computer, phone, and other standard office equipment, • Must be mobile and able to sit and/or stand for four (4) hours, • Able to lift 35 lbs. from floor to chest level, • Basic understanding and manual dexterity to use various hand-held and power tools, • Smartphone with internet access/data plan We are an Equal Opportunity Employer #SONYREPAPP

Rangam is seeking candidates for a Direct Hire role as a Senior Associate Scientist – Biotherapeutics and Vaccines Analytical Testing with our client Pfizer, one of the world’s largest pharmaceutical companies. Seeking candidates in Pearl River, NY This position is being offered as part of a neurodiversity hiring program which is designed to provide a more inclusive and supportive hiring process and work environment for job seekers with cognitive disabilities, which includes, but is not limited to autism, ADD/ADHD, PTSD, OCD, Anxiety Disorder, Major Depressive Disorder, Dyslexia, Bipolar, and Tourette's Syndrome What You Will Achieve In this role, you will: • Conduct qualitative and quantitative analyses of various biotherapeutic products and vaccines, to determine their quality during manufacture and during determination of their shelf life., • Perform analytical method lifecycle activities such as verification, qualification, validation, and transfer activities for complex biotherapeutics (mAb, mAb-like), antibody drug conjugates, therapeutic proteins, and vaccines., • Maintain written records of all experimental work in compliance with GLP/GMP and departmental SOPs., • Assist in the maintenance and renewal of laboratory instruments and systems and improve safe and effective working practices., • Attend team meetings to present data and apply technical skills and knowledge to solve complex investigation problems., • Work under moderate supervision with regular review and identify activities to support work group/project team goals, • Contribute to the achievement of immediate work group goals and collaborate with other team members across the larger analytical organization., • Prioritize work to meet project deadlines and ensure participation and contribution as a team member., • Continuously improve safe and effective working practices in the laboratory environment., • Perform and troubleshoot as necessary analytical assays, while applying these methods across a board range of early and late-stage products in a cGMP environment. Qualifications Must Have • BA/BS with 3 to 5 years of experience performing biotherapeutics testing in an R&D or GMP (preferable) environment., • Master's Degree with 0 to 4 years of experience performing biotherapeutics testing in an R&D or GMP (preferable) environment., • Strong documentation skills and attention to detail, • Some experience with method validation and method transfer, • Ability to extract relevant information from scientific literature, • Proficiency in recording observations, facts, data, and conclusions during experimental work or cGMP investigations, • Solid understanding of fundamental biochemistry, including functional group recognition and compound characterization, • Experience using spectroscopic (e.g., UV-VIS, fluorescence spectroscopy) chromatographic techniques (e.g., HPLC/UPLC) or experience in bioassay techniques (e.g., ELISA or cell-based bioassays), • Experience in GMP laboratory operations and logistics, • Effective interaction with peers and leaders as part of a multi-disciplinary team, • Strong evidence of growth mindset and ability to work as part of a diverse team, • Strong verbal and written communication skills Nice to Have • Understanding of software systems used in biotherapeutics testing environments (EMPOWER, Labware LIMS or ELN or similar, SoftMax), • Good Laboratory Practices (part of GxP) and Good Manufacturing Practices (also cGMP) knowledge, • Problem-solving skills and the ability to make decisions based on limited options or limited informaiton, • Initiative and proactive approach to tasks and projects, • Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem solving and enhance productivity. The annual base salary for this position ranges from $68,600.00 to $114,300.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire.

Job Title: Health-Tech Software Fellow – (Gap Year / Pre-Med) Location: New York, NY (On-site) Employment Type: Full-time, Hourly (40 hrs/week, non-exempt) Compensation: $20.00/hour (with overtime for hours exceeding 40/week) About Sigmund Healthcare Sigmund Healthcare is an intelligent clinical assistant platform designed by clinicians to streamline psychiatric care—from intake and longitudinal tracking to session documentation. Originating from the Sultan Lab for Mental Health Informatics at Columbia University Irving Medical Center, Sigmund collaborates with leading institutions including NewYork-Presbyterian, Harvard, Mount Sinai, and Weill Cornell. We bridge cutting-edge clinical machine learning with real-world psychiatric workflows across pediatric, adolescent, and adult care. Role Overview We are seeking a motivated, mission-driven recent college graduate to join our team on-site in New York City as a Junior Software Developer / Health-Tech Software Fellow. This role is specifically tailored for individuals passionate about the intersection of software engineering, mental health, and clinical medicine—making it an ideal 1–2 year launchpad for candidates planning to apply to medical school (MD/DO), graduate programs in biomedical informatics or computational neuroscience, or health-tech careers. In this role, you will gain hands-on experience building, testing, and scaling clinical services that directly support psychiatric clinicians and patients. Working alongside clinical researchers, faculty, and engineers, you will translate complex psychiatric workflows into robust software while receiving direct mentorship in clinical informatics, modern full-stack architectures, and health-tech compliance. Who Should Apply • Pre-Med & Gap-Year Candidates: Recent graduates seeking substantive, clinically integrated technical experience and faculty mentorship before entering medical school., • Interdisciplinary Thinkers: Individuals with backgrounds bridging Computer Science, Computational Neuroscience, Cognitive Science, Biomedical Engineering, or Informatics who want to apply software skills to mental healthcare., • Mission-Driven Problem Solvers: Candidates committed to improving psychiatric care delivery and workflows through thoughtfully engineered technology. Key Responsibilities • Develop and maintain backend services, RESTful APIs, and database schemas supporting clinical workflows., • Write clean, maintainable, and well-tested code using modern software design principles., • Collaborate directly with clinicians and researchers to prototype, test, and iterate on new platform features., • Assist in integrating third-party clinical APIs, data pipelines, and internal tooling., • Participate in code reviews, technical discussions, and system reliability/security optimizations (including HIPAA best practices). Qualifications • Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science, Biomedical Informatics (exposure to life sciences/mental health a strong bonus)., • Core Fundamentals: Solid foundation in data structures, algorithms, object-oriented programming (OOP), and database fundamentals., • Technical Skills: Familiarity with modern backend languages/frameworks (e.g., Python, Node.js, TypeScript), REST APIs, SQL/NoSQL databases, and Git version control., • Mindset: Eagerness to take ownership of features, learn rapidly under direct mentorship, and solve ambiguous technical problems., • Collaboration: Strong written and verbal communication skills; comfortable interfacing with both technical teammates and clinical partners., • Bonus: Prior exposure to healthcare data, HIPAA compliance concepts, full-stack development, or academic research projects. What We Offer • Direct Clinical Impact: Build software actively utilized in an outpatient psychiatric clinic., • Mentorship & Pedigree: Work alongside clinical informatics faculty, machine learning researchers, and experienced engineers at the intersection of medicine and technology., • Career Launchpad: Exceptional preparation and mentorship for future careers in high-growth health-tech, software engineering, or top-tier medical/graduate school programs.

About Us Surgeon Decision Intelligence (SDI) is an emerging leader in AI-driven medical imaging solutions for orthopedic care. Founded by a team of orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the world’s best orthopedic hospital, our mission is to transform patient care by developing quantitative imaging biomarkers to inform treatment approaches for a broad spectrum of musculoskeletal disease and predict associated outcomes. We combine cutting-edge computer vision, medical image analysis, and machine learning to unlock new insights from MRI imaging, one of the most widely obtained modalities of medical imaging, accelerating the translation of novel imaging biomarkers from research into clinical practice. Our team is passionate about bridging the gap between advanced computational methods and real-world healthcare impact. Position Summary The Principal Software Quality Engineer is responsible for leading software quality assurance activities for our Class II AI/ML-based Software as a Medical Device (SaMD). This role provides technical leadership and quality oversight across the full software lifecycle, including design controls, risk management, verification and validation, cybersecurity, release management, post-market activities, change control, and quality system compliance. You will work closely with Software Engineering, Machine Learning, Product, Regulatory, Clinical, and Cybersecurity teams to ensure our software is developed, tested, released, maintained, and changed in a controlled, compliant, and risk-based manner that supports product safety, effectiveness, and quality, including Quality System requirements. You will also provide technical oversight, mentoring, and review of work performed by internal teams, consultants, contractors, and third-party service providers. Essential Responsibilities: The Principal Software Quality Engineer is responsible for supporting and leading software quality activities across the full product lifecycle, including design, development, verification, validation, release, maintenance, and post-market change control. Essential responsibilities include, but are not limited to, the following: · Provide software quality engineering leadership for the Company’s Class II AI/ML-based Software as a Medical Device. · Support compliance with applicable medical device software regulations, standards, guidance documents, and internal quality system procedures. · Provide Quality oversight for software lifecycle activities, including requirements, design, development, verification, validation, release, maintenance, and change control. · Review and approve software quality documentation, including software requirements, design documentation, risk analyses, cybersecurity risk analyses, traceability matrices, verification protocols, validation protocols, test reports, release documentation, and change records. · Ensure software requirements are clear, testable, traceable, risk-based, and aligned with user needs and intended use. · Support design control activities, including design inputs, design outputs, design reviews, design verification, design validation, design transfer, and design changes. · Ensure appropriate traceability among requirements, design outputs, risk controls, verification testing, validation testing, defects, and released software. · Provide quality oversight for AI/ML-related software activities, including algorithm performance documentation, dataset considerations, acceptance criteria, validation activities, and change impact assessments. · Support software verification and validation activities, including test plans, test cases, automated testing, regression testing, performance testing, cybersecurity testing, deviations, anomalies, and final reports. · Evaluate software defects, deviations, and unresolved anomalies for safety, performance, cybersecurity, regulatory, and release impact. · Support software release readiness reviews and confirm required testing, documentation, risk assessments, cybersecurity activities, and approvals are complete. · Review and approve software change requests and impact assessments, including impact to requirements, risk management, cybersecurity, validation, labeling, and regulatory documentation. · Provide quality oversight for cloud-based software deployment, configuration management, access controls, release controls, CI/CD processes, source code repositories, and software development tools. · Support cybersecurity quality activities, including review of threat models, vulnerability assessments, penetration testing results, SBOM documentation, vulnerability dispositions, and cybersecurity risk mitigations. · Support supplier quality activities for software-related suppliers, cloud service providers, software development contractors, cybersecurity vendors, and other third-party service providers. · Support post-market software quality activities, including complaint investigations, CAPA, nonconformances, field issues, software patches, and maintenance releases. · Provide quality input for regulatory submissions and responses to regulatory questions related to software, cybersecurity, risk management, and verification and validation. · Participate in internal audits, external audits, supplier audits, and regulatory inspections related to software quality and SaMD development. · Identify and support improvements to software quality processes, design controls, risk management, verification and validation, cybersecurity, and release management. · Mentor cross-functional team members on software quality expectations, documentation practices, risk-based thinking, and medical device software compliance. · Oversee our cloud infrastructure (Azure/AWS), CI/CD pipelines, and DevSecOps practices. Minimum Qualifications: To be qualified for this role, the Principal Software Quality Engineer shall meet the following requirements: · Bachelor’s degree in Software Engineering, Computer Science, Biomedical Engineering, Electrical Engineering, Systems Engineering, or a related technical discipline. · Minimum of 8 years of experience in software quality engineering, software development, software verification and validation, quality engineering, or related medical device software role. · Minimum of 5 years of experience working in a regulated medical device, SaMD, digital health, diagnostic imaging, healthcare software, or other regulated life sciences environment. · Demonstrated knowledge of medical device design controls and software lifecycle requirements. · Demonstrated knowledge of the US FDA’s expectations for maintaining AI/ML-enabled medical devices including predetermined change control plans, real-world performance monitoring, and algorithm change management. · Experience with software verification and validation, including review of test plans, protocols, test cases, test results, deviations, anomalies, and traceability. · Experience with risk management for medical devices, including hazard analysis, software risk analysis, cybersecurity risk analysis, and risk control verification. · Working knowledge of applicable standards and regulations, such as 21 CFR Part 820, ISO 13485, ISO 14971, IEC 62304, IEC 62366-1, and FDA guidance for medical device software. · Experience supporting software change control, release readiness, configuration management, and defect management. · Experience working with cross-functional teams, including software engineering, product, regulatory, clinical, cybersecurity, and quality. · Strong technical writing skills, including ability to write and review clear, complete, and audit-ready quality records. · Strong analytical and problem-solving skills, including ability to assess technical issues for quality, safety, cybersecurity, regulatory, and business impact. · Ability to work independently, prioritize work, and provide technical leadership in a fast-paced development environment. · Proficiency in English, including ability to read, write, review, and approve technical and quality documentation. Preferred qualifications include: · Master’s degree in Software Engineering, Computer Science, Biomedical Engineering, Regulatory Science, Quality Assurance, or a related discipline. · Experience with AI/ML-enabled medical devices, imaging software, quantitative imaging biomarkers, radiology workflows, MRI image processing, or clinical decision-support software. · Experience with Class II SaMD regulatory submissions, including US FDA 510(k) submissions. · Experience with cloud-based software platforms and Microsoft Azure. · Experience with cybersecurity documentation for medical devices, including threat modeling, SBOM review, vulnerability assessment, penetration testing, and cybersecurity risk management. · Experience with automated testing frameworks, CI/CD pipelines, DevOps practices, GitHub, Jira, Azure DevOps, or similar tools. · Experience with software tool validation or computer software assurance. · Experience supporting US FDA inspections, ISO 13485 audits, MDSAP audits, supplier audits, or EU notified body audits. · ASQ Certified Software Quality Engineer, Certified Quality Engineer, Regulatory Affairs Certification, or similar professional certification. Location Remote (U.S.) temporarily, but able to transition to in-person work in New York City in approximately 6 months. Compensation Highly competitive salary + equity + benefits, commensurate with experience. If you’re excited about our mission, we want to hear from you. The base salary for this role is $200,000 - 270,000. How to Apply • If you’re excited to help shape the future of quantitative imaging biomarkers and medical AI, send your resume and a brief introduction to nathooi@sdi-global.ai (Isaac).

COMPANY OVERVIEW Halo Pharmaceutical is a technology-focused contract development and manufacturing organization (CDMO) specializing in solid, semi-solid, and liquid dosage forms, with differentiated expertise in controlled substances manufacturing. With facilities in the United States and Canada, Halo supports leading pharmaceutical companies through high-quality manufacturing, operational excellence, and customer-focused solutions. Join a growing CDMO where your leadership, operational expertise, and ability to drive performance will directly influence site success and customer satisfaction. POSITION OVERVIEW The Microbiologist – Sterile 2nd shift is responsible for supporting sterile manufacturing operations by performing microbiological testing, environmental monitoring, and aseptic process support activities. This role ensures compliance with current Good Manufacturing Practices (cGMP), including 21 CFR Parts 210/211, 820, ISO 13485, and EU Annex 1 requirements. The position plays a critical role in maintaining the microbiological control of aseptic processing environments used in the production of sterile injectable products. 100% onsite – 30 N. Jefferson Road, Whippany, NJ KEY RESPONSIBILITIES • Perform daily microbiology lab operations (supply ordering, media/disinfectant prep, cleaning, equipment operation, sample receipt, GDP-compliant documentation)., • Conduct routine/specialized micro testing (bioburden, endotoxin/LAL, sterility, biological indicators, growth promotion) per USP, supporting sterile manufacturing, water/steam, and EM programs., • Execute environmental monitoring (viable air, non-viable particulate, surface/RODAC, personnel) in classified cleanrooms; support aseptic gowning, extended aseptic monitoring, and media fill simulations., • Perform cleaning validation/verification sampling (swab/rinse) and support process validation for sterile/aseptic operations., • Conduct microbial identification, gram staining, and colony morphology assessment., • Maintain working knowledge and application of relevant USP chapters, including USP <51>, <61>, <62>, <71>, <85>, <1035>, and <1111>., • Support OOS/OOT/EM excursion investigations, root cause analysis, CAPA, and trending/reporting of environmental and utility data., • Draft/review/revise SOPs, protocols, reports, and risk assessments for regulatory compliance., • Manage lab operations (media/inventory, equipment cleaning/calibration coordination, sanitation)., • Support internal/customer/regulatory audits; coordinate contract lab sample shipments and review results., • Ensure proper biohazard/hazardous waste handling; comply with safety, GMP, and company policies., • Collaborate cross-functionally with Quality, Manufacturing, and Validation teams to support sterile operations., • Participate in Goods Receipt issuance for microbiology laboratory services as needed., • Perform other duties as assigned. POSITION QUALIFICATIONS • Strong communication skills; able to present effectively across organizational levels and to clients. • Flexible availability, including weekends/extended hours per manufacturing schedules., • Solid grounding in microbiological principles and sterile/aseptic manufacturing environments; hands-on experience in micro testing and cleanroom environmental monitoring., • Working knowledge of cGMP, EU Annex 1, and USP methods with required experience in endotoxin, sterility, and bioburden testing; TOC/conductivity/nitrate testing., • Familiarity with quality systems/software (TrackWise, SAP, MasterControl, Novatek) a plus., • Self-directed in a fast-paced regulated environment; proper handling/disposal of hazardous and biological lab waste., • Consistent adherence to safety, housekeeping, cGMP/GLP, and documentation requirements; proper PPE use., • Collaborative team player with strong attention to detail and accurate, compliant documentation. • Proficient in Microsoft Office (Word, Excel) and lab information systems. EDUCATION: • Bachelor’s degree in microbiology, Biology, or a related scientific discipline required. Equivalent experience may be considered. EXPERIENCE: Minimum of 10 years of microbiology experience in a regulated pharmaceutical or biotechnology environment. At least 5 years of experience supporting aseptic/sterile manufacturing operations (e.g., vial filling, prefilled syringes, or similar sterile processes) is required. Experience with startup, commissioning, or qualification of aseptic facilities is a plus. Halo Pharma provides a pay range for this role in accordance with applicable pay transparency laws. Individual pay rates are determined by assessing expertise, skills, education, and professional background Halo is an Equal Opportunity / Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

About the Role InfinityRx is seeking a versatile Program Implementation Engineer to join our technical operations team. In this pivotal role, you will bridge the gap between software engineering, client onboarding, and system configuration to bring new healthcare programs to life on our proprietary platform, the InfinityRx Claims Processor™ (ICP). As a Full Stack Implementation Engineer, you will take direct responsibility for coding, configuring, testing, and deploying custom program logic and client-facing interfaces. You will work closely with account managers, client stakeholders, and core engineering teams to turn complex client business rules into high-performing, scalable software implementations. Key Responsibilities • End-to-End Program Onboarding: Lead the technical configuration and development for new client onboardings, ensuring seamless integration of copay assistance, patient access, and pharmaceutical claim processing rules., • Full Stack Development: Build, maintain, and extend client-facing web portals, custom APIs, administrative tools, and internal integration workflows using modern front-end and back-end frameworks., • Claims Logic & Rule Configuration: Implement complex adjudication rules, accumulator logic, and eligibility check workflows within the core claims processor engine., • Integration & API Management: Design, build, and test RESTful/SOAP APIs and data exchange pipelines to connect external client systems, PBMs, pharmacies, and third-party vendors with the InfinityRx platform., • System Testing & Validation: Conduct rigorous end-to-end unit, integration, and user acceptance testing (UAT) for all program configurations to ensure 100% accuracy in claim adjudication and financial transactions., • Troubleshooting & Operational Support: Serve as the tier-3 escalation point for technical implementation issues, production bugs, and data mapping edge cases during and post-launch., • Cross-Functional Collaboration: Partner directly with Product Managers, Solution Architects, and Client Success teams to translate complex healthcare client requirements into technical specifications.Required Qualifications, • Experience: 3+ years of professional full stack software engineering experience, preferably in client-facing, implementation, or integration-heavy roles., • Front-End Proficiency: Strong skills in modern JavaScript/TypeScript frameworks (e.g., React, Vue.js, Angular) and HTML5/CSS3 to build responsive, accessible client interfaces., • Back-End Expertise: Solid background in server-side development using Node.js, Python, C#/.NET, or Java, with experience designing and consuming RESTful APIs and microservices., • Database & SQL Mastery: Proficient in relational databases (PostgreSQL, SQL Server, MySQL) with strong ability to write complex queries, stored procedures, and perform data transformations., • System Integration: Proven experience with webhooks, API design, JSON/XML parsing, and ETL integration patterns., • Agile & CI/CD: Familiarity with Git, automated deployment pipelines (CI/CD), and Agile/Scrum delivery frameworks.Preferred Qualifications (Big Plus), • Domain Expertise: Experience in pharmaceutical claims processing, Pharmacy Benefit Management (PBM), or medical claims adjudication., • Healthcare Data Standards: Familiarity with industry standards such as NCPDP Telecommunication Standards, X12 EDI (837/835/270/271), or HL7/FHIR formats., • Regulatory Compliance: Operational understanding of HIPAA rules, HITECH, and handling Protected Health Information (PHI)., • Cloud Infrastructure: Hands-on experience with cloud platforms (AWS, Azure, or GCP), serverless functions, and containerized deployments (Docker/Kubernetes)., • Education: Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent experience.Compensation & Work Environment, • Salary Range: $90,000 – $125,000 (commensurate with experience)., • Work Location: Hybrid., • Equipment: High-performance company-provided laptop.

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Summary The Medical Assistant is responsible for all departmental functions aligned with the mission, vision, and goals of PM Pediatrics. The Medical Assistant roles is an opportunity for a pediatric medical assistant to apply their skills in a pediatric urgent care setting and assist with primary patient care based on individual patient needs within their scope of practice under the physician’s direct supervision. This position maintains effective working relationships with all customers, including patients/families, physicians, employees, volunteers, and vendors. Description Pompton Plains, NJ is the primary office location; however, coverage at our Paramus, NJ location will be required as needed based on staffing and operational needs. Job Responsibilities • Provide clinical and administrative support for providers, patients, and office operations, • Greet and register patients as they arrive, • Obtain medical history, patient vital signs, and intake, • Prepare patients for X-rays, • Perform and document routine labs, such as throat and urine cultures (venipuncture experience preferred), • Irrigate and assist with wounds, • Assist in performing quality control testing in the lab, • Be an integral part of the patient care team and assist with patient care within the scope of practice, • Keep exam rooms and front reception stocked with adequate supplies, • Maintain order and cleanliness of the waiting room area, • Practice standard safety practices and precautions, • Help patients in distress by responding to emergencies and notifying medical team (nurse, urgent care tech, and physician), • Maintains operations by following policies and procedures; reporting needed changes to management team, • Maintains patient confidence and protects operations by keeping patient care information confidential, • Enhances health care practice reputation by accepting ownership for accomplishing new and challenging requests; exploring opportunities to add value to job accomplishments, • Assistant patients with complaints and taking an active role in service recovery when needed, • Perform other duties as needed including apply splints and assisting the nurse and/or provider in other medical procedures, • Provide exceptional customer services Qualifications • High school diploma or GED, • Prior experience and/or education as a Medical Assistant, • Knowledge or EKG placement and processing in children, • Ability to obtain laboratory tests via nasal swab, and venipuncture, • Demonstrate a professional and friendly demeanor, • Strong communications and organizational skills, • Prior pediatric experience, • Capable of multi-tasking in a fast-paced environment, • Comfortable with computers, Microsoft Office Suite, • Willing to learn medical software, • Experience with medical records preferred Compensation $18 - $26/hour The salary/rate range listed here has been provided to comply with local regulations and represents a potential base salary/rate for this role. Please note that actual salaries/rates may vary within this range above or below, depending on experience and location. We look at compensation for each individual and based on experience and qualifications. EEO Statement PM Pediatric Care is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status or any other characteristic protected by law.

About PENTAX Medical PENTAX Medical is a global medical device company focused on flexible endoscopy systems. As a division of HOYA Holdings we develop, manufacture, distribute and service endoscopic equipment used in hospitals and ambulatory surgery centers globally. At PENTAX Medical, our mission is to improve patient care and healthcare delivery worldwide through innovative endoscopic imaging technologies and solutions. Driven by our commitment to Quality, Clinically Relevant Innovation, and Simplicity, we are more than just an equipment manufacturer, we focus on: • Endoscopic imaging technology, • Clinical education and physician training, • Infection prevention and reprocessing solutions, • Service and Repair support for endoscopy departments, • Senior Manager of Software Development Location: Montvale, NJ | Hybrid Department: R&D Reports To: Director, US R&D Why Join PENTAX Medical? At PENTAX Medical, your work has purpose. PENTAX Medical is a HOYA-owned medical technology company that provides endoscopy imaging systems, scopes, and related services for GI, pulmonary, and ENT procedures, helping physicians diagnose and treat diseases using minimally invasive techniques. Whether you're supporting commercial operations, developing innovative technologies, manufacturing life-saving devices, or enabling exceptional customer experiences, your contributions help improve healthcare outcomes worldwide. When you join our team, you'll benefit from: • A mission-driven organization dedicated to advancing patient care, • A collaborative culture that values innovation, accountability, and teamwork, • Opportunities to make a measurable impact on a growing global business, • Professional development and career growth opportunities, • Competitive compensation and performance-based rewards, • Comprehensive healthcare, wellness, and retirement benefits, • Generous Paid Time Off, sick time, and company holidays, • Flexible work arrangements where applicable The Senior Manager of Software Development is a hands-on technical and people leader responsible for the architecture, development, and delivery of enterprise-level software products in a regulated medical device environment. This role leads and mentors multiple software engineering teams, drives large and concurrent development programs, and partners across Product Management, Systems Engineering, Verification, Quality, Regulatory, Operations, and other functions to deliver secure, scalable, and maintainable solutions. The ideal candidate combines strategic technology leadership with active participation in software design, coding, code reviews, troubleshooting, risk management, and lifecycle execution. This leader will build engineering capability, guide pragmatic architecture decisions, and drive disciplined delivery across complex programs. Key Responsibilities • Provide technical leadership, architectural direction, and a clear engineering vision for complex software products, platforms, and large development programs., • Remain actively involved in software architecture, system design, technology selection, coding, design reviews, code reviews, debugging, performance optimization, and critical technical problem-solving., • Design pragmatic architectures that prioritize maintainability, extensibility, cybersecurity, reliability, scalability, and business value while avoiding unnecessary complexity and over-engineering., • Drive the full software development lifecycle, including requirements analysis, feasibility estimates, planning, design, coding, documentation, testing, implementation, release, patching, configuration changes, and defect support., • Manage multiple concurrent projects, including project plans, resource planning, schedules, development timelines, budgets, scope, quality, risk, and delivery commitments., • Collaborate with Product Management to define product and feature roadmaps and contribute to strategic technology planning and long-term platform direction., • Maintain, enhance, and modernize legacy software systems while balancing technical debt, product requirements, cybersecurity needs, and long-term architectural goals. Collaboration & Leadership • Lead, recruit, mentor, and develop multidisciplinary software teams, including senior engineers and teams of at least five developers., • Partner with Systems Engineering, Verification, Program Management, Product Management, application specialists, Product Marketing, Operations, Quality Assurance, Regulatory Affairs, and other stakeholders to resolve development issues and deliver compliant products., • Build a culture of quality, trust, accountability, inclusion, continuous improvement, and innovation., • Communicate complex technical subjects in clear business terms and influence effectively within a matrixed organization. Performance & Excellence • Establish and enforce software engineering processes, coding standards, continuous integration practices, development methodologies, architecture artifacts, and efficient documentation practices., • Identify technical, schedule, quality, and delivery risks early; develop mitigation plans and resolve issues before they create avoidable cost or schedule impact., • Ensure compliance with company policies, procedures, and applicable medical device software requirements., • Provide oversight of department expenses and budget planning and perform other duties as assigned by management. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Engineering, or a related technical discipline., • 10+ years of software development experience, including architecture, design, and coding of large, complex, mission-critical or commercial software products; 12+ years preferred., • 6+ years of software engineering management or comparable technical leadership experience with direct reports, including demonstrated success developing senior engineers and leading teams of five or more developers., • Extensive hands-on experience in an FDA-regulated medical device or healthcare software R&D environment, including IEC 62304. Familiarity with ISO 13485, EU MDR, IEC 62366, ISO 14971, cybersecurity, and data privacy requirements., • Advanced hands-on experience with C#, WPF, C/C++, .NET, SQL, database development, and Windows-based software., • Deep knowledge of software architecture, object-oriented design, design patterns, algorithms, data structures, distributed systems, service-oriented architecture, API design and integration, scalability, reliability, and continuous integration., • Experience with desktop, server-side or backend, web, database, cloud-deployed applications, and multiple deployment platforms., • Proven ability to lead multiple development teams and concurrent programs while delivering to scope, budget, quality, and schedule expectations., • Strong people leadership, communication, stakeholder management, team-building, and cross-functional collaboration skills, including the ability to influence without direct authority. Preferred Qualifications • Master's degree in a related technical discipline., • Experience developing commercial software for capital medical equipment and delivering large-scale medical software applications for commercial use., • Understanding of DICOM and HL7 and experience with medical imaging modalities, visible-light imaging, video-based diagnostic or procedural platforms, or healthcare information systems., • Knowledge of real-time embedded systems, real-time operating systems, multi-processor and multi-threaded algorithms, device drivers, software/electronics integration, and low-level data links such as SPI, I2C, and serial/UART., • Experience debugging integrated hardware/software systems using standard tools and equipment., • Experience developing technology strategies, product roadmaps, architecture blueprints, process harmonization plans, and system integration maps., • Experience leading global or multi-company teams within a matrixed organization., • Experience with Microsoft Team Foundation Server and product development lifecycle tools such as Oracle Agile., • Working knowledge of IEC 60601 and TIR45. What Will Make You Successful The successful candidate will demonstrate: • Strategic mindset and strong system-level thinking, • Ability to build effective teams and develop engineering talent, • Accountability, ownership, and a consistent drive for results, • Collaboration and relationship building across technical and business functions, • Ability to manage complexity, ambiguity, and shifting business priorities, • Commitment to quality, regulated development practices, and operational excellence Working Conditions & Travel • Work Environment: Hybrid, Montvale, New Jersey, • Travel Requirements: Up to 10%, • Physical Requirements: Standard office and computer-based work requirements Benefits & Total Rewards PENTAX Medical offers a comprehensive benefits package designed to support employees and their families, including: • Medical, Dental, and Vision Coverage, • Retirement Savings Programs, • Life and Disability Insurance, • Employee Assistance Program (EAP), • Wellness Resources, • Paid Time Off, • Company Holidays, • Professional Development Opportunities Benefits may vary based on position and location. PENTAX Medical is an Equal Opportunity Employer committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other protected status under applicable law.

Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. \n \n Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. \n \n Team: \n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. \n \n What You’ll Do: \n\n • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n, • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation)\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications\n, • Retrain, maintain, and monitor models in production\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale\n, • Construct optimized data pipelines to feed ML models\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI\n, • Use programming languages like Python, Scala, or Java\n\n \n Basic Qualifications: \n\n • Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)\n, • At least 4 years of experience programming with Python, Java, Golang, or C++\n, • At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn)\n, • At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data\n, • At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems\n\n \n Preferred Qualifications: \n\n • Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field\n, • 3+ years of experience optimizing ML algorithms, configurations, and infrastructure\n, • 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. \n, • 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans.\n, • 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting)\n, • 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models.\n, • 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation \n, • Authored/co-authored a paper on a ML technique, model, or proof of concept\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4\n \n New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4\n \n Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4\n \n Richmond, VA: $179,400 - $204,700 for Machine Learning Engineer 4\n \n San Francisco, CA: $215,200 - $245,600 for Machine Learning Engineer 4\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

We’re hiring AI & LLM Applications Scientists to help augment and accelerate ICR scientists’ workloads, improving both quality and productivity across the organization. The ideal candidate has a deep, practical understanding of modern AI and large language models, including how they work, what they can and cannot do, and how to most wisely integrate and deploy them in a fast-paced scientific environment. Our ideal candidate not only knows how to use AI and LLMs, but understands them at a fundamental level — their core principles, limitations, and what truly makes them work. The candidate will have a similarly deep, first‑principles grasp of deep learning, neural networks, machine learning, and modern software and computing, not just surface‑level familiarity. Their ability to clearly articulate the underlying ideas and “essence” of these systems to others will be a key indicator of this depth of understanding and will be vital to the success of this role within our company. In this position at ICR, you'll get to: • Partner with bench scientists, computational biologists, and data scientists to design and implement AI/LLM‑enabled workflows that streamline literature review, study design, data interpretation, and reporting., • Evaluate, prototype, and deploy AI tools (including frontier and open‑source models) to accelerate ICR’s research programs in regenerative and preventive medicine, with a focus on aging and age‑related diseases., • Work directly with individual scientists and teams to understand their pain points, then co‑create AI‑assisted solutions that measurably increase throughput and scientific rigor., • Design and deliver training sessions and small‑group workshops to raise AI literacy across all levels of ICR, from junior scientists to senior leadership., • Continuously monitor the AI landscape, benchmarking new models and tools, and advise leadership on build/buy/adopt decisions aligned with ICR’s mission and risk tolerance. Please apply if you have: • Extensive hands‑on experience with modern AI and LLMs (e.g., GPT‑class models, open‑source LLMs, multimodal models), including prompt engineering, evaluation, and workflow integration., • A strong technical foundation in computer science, machine learning, data science, or a closely related field; or equivalent experience applying AI in scientific or technical domains., • Demonstrated understanding of LLM capabilities and limitations, including hallucinations, bias, privacy and IP concerns, security, and appropriate mitigation strategies., • Experience partnering with non‑technical individuals to translate loosely defined scientific or organizational problems into concrete AI‑enabled solutions., • Experience designing or running experiments to evaluate AI tools including but not limited to A/B testing, human‑in‑the‑loop evaluation, metrics for quality, reliability, and productivity impact)., • Excellent communication skills and the ability to explain complex AI concepts clearly to audiences with a wide range of technical backgrounds., • A strong interest in regenerative medicine, aging biology, or age‑related diseases, and enthusiasm for using AI to advance ICR’s mission., • An understanding of basic machine learning paradigms and scoring rules., • Extensive programming experience (Python preferred). Ideally, you'll also have experience with: • Building lightweight internal tools or integrations (e.g., Python, JavaScript, REST APIs, LangChain, or similar frameworks) that connect LLMs to data sources and workflows., • Working with scientific or biomedical data (e.g., omics, imaging, clinical, or real‑world data) and understanding their common pitfalls and preprocessing requirements., • Using vector databases, retrieval‑augmented generation (RAG), or fine‑tuning approaches to adapt foundation models to domain‑specific use cases., • Building or curating evaluation datasets and annotation guidelines for scientific or technical AI applications. And you'll need: • Ability to work in the United States without sponsorship, • Comfort operating in a fast‑moving AI landscape, including the humility to say “I don’t know yet” and the discipline to test assumptions before broad deployment., • A can-do attitude and a friendly, easygoing personality If you don't combine your cover letter with your CV or resume when you apply through LinkedIn, after you apply please send your cover letter only to: apply@invitroresearch.com with "Cover [Your name]" as the Subject line. Position title and compensation are commensurate with experience. The compensation ranges listed below are starting ranges. Starting base salary range: $155,000/yr - $215,000/yr Starting bonus range: $10,000/yr - $20,000/yr

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Summary The Medical Assistant is responsible for all departmental functions aligned with the mission, vision, and goals of PM Pediatrics. The Medical Assistant roles is an opportunity for a pediatric medical assistant to apply their skills in a pediatric urgent care setting and assist with primary patient care based on individual patient needs within their scope of practice under the physician’s direct supervision. This position maintains effective working relationships with all customers, including patients/families, physicians, employees, volunteers, and vendors. Description Job Responsibilities: • Provide clinical and administrative support for providers, patients, and office operations, • Greet and register patients as they arrive, • Obtain medical history, patient vital signs, and intake, • Prepare patients for X-rays, • Perform and document routine labs, such as throat and urine cultures (venipuncture experience preferred), • Irrigate and assist with wounds, • Assist in performing quality control testing in the lab, • Be an integral part of the patient care team and assist with patient care within the scope of practice, • Keep exam rooms and front reception stocked with adequate supplies, • Maintain order and cleanliness of the waiting room area, • Practice standard safety practices and precautions, • Help patients in distress by responding to emergencies and notifying medical team (nurse, urgent care tech, and physician), • Maintains operations by following policies and procedures; reporting needed changes to management team, • Maintains patient confidence and protects operations by keeping patient care information confidential, • Enhances health care practice reputation by accepting ownership for accomplishing new and challenging requests; exploring opportunities to add value to job accomplishments, • Assistant patients with complaints and taking an active role in service recovery when needed, • Perform other duties as needed including apply splints and assisting the nurse and/or provider in other medical procedures, • Provide exceptional customer services Qualifications • High school diploma or GED, • Prior experience and/or education as a Medical Assistant, • Knowledge or EKG placement and processing in children, • Ability to obtain laboratory tests via nasal swab, and venipuncture, • Demonstrate a professional and friendly demeanor, • Strong communications and organizational skills, • Prior pediatric experience, • Capable of multi-tasking in a fast-paced environment, • Comfortable with computers, Microsoft Office Suite, • Willing to learn medical software, • Experience with medical records preferred Compensation $19.50 - $25/hour The salary/rate range listed here has been provided to comply with local regulations and represents a potential base salary/rate for this role. Please note that actual salaries/rates may vary within this range above or below, depending on experience and location. We look at compensation for each individual and based on experience and qualifications. EEO Statement PM Pediatric Care is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status or any other characteristic protected by law.

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Summary The Medical Assistant is responsible for all departmental functions aligned with the mission, vision, and goals of PM Pediatrics. The Medical Assistant roles is an opportunity for a pediatric medical assistant to apply their skills in a pediatric urgent care setting and assist with primary patient care based on individual patient needs within their scope of practice under the physician’s direct supervision. This position maintains effective working relationships with all customers, including patients/families, physicians, employees, volunteers, and vendors. Description Requirements: This role is open to Medical Assistants (MA) only. Candidates must have completed formal Medical Assistant training or have hands-on work experience as a Medical Assistant within the last 6 months, preferably in Pediatrics. Applications without MA training or experience will not be considered. Schedule: This is a part-time role that requires full availability across all office hours, with a minimum of two full shifts per week. Our office is open 7:00 AM to 11:00 PM, and shifts are assigned based on office needs. Shifts may include 7:00 AM to 7:00 PM, 11:00 AM to 11:00 PM, 3:00 PM to 11:00 PM, or 11:00 AM to 7:00 PM, and will vary week to week. Candidates must be able to work any of these shifts, including rotating weekends and some holidays. If your availability is limited by another full-time position, this role will not be a fit. Set or preferred schedules cannot be accommodated. Location: This position may split time between our Bayside, NY and Forest Hills, NY offices, based on needs. Job Responsibilities • Provide clinical and administrative support for providers, patients, and office operations, • Greet and register patients as they arrive, • Obtain medical history, patient vital signs, and intake, • Prepare patients for X-rays, • Perform and document routine labs, such as throat and urine cultures (venipuncture experience preferred), • Irrigate and assist with wounds, • Assist in performing quality control testing in the lab, • Be an integral part of the patient care team and assist with patient care within the scope of practice, • Keep exam rooms and front reception stocked with adequate supplies, • Maintain order and cleanliness of the waiting room area, • Practice standard safety practices and precautions, • Help patients in distress by responding to emergencies and notifying medical team (nurse, urgent care tech, and physician), • Maintains operations by following policies and procedures; reporting needed changes to management team, • Maintains patient confidence and protects operations by keeping patient care information confidential, • Enhances health care practice reputation by accepting ownership for accomplishing new and challenging requests; exploring opportunities to add value to job accomplishments, • Assistant patients with complaints and taking an active role in service recovery when needed, • Perform other duties as needed including apply splints and assisting the nurse and/or provider in other medical procedures, • Provide exceptional customer services Qualifications • High school diploma or GED, • Prior experience and/or education as a Medical Assistant, • Knowledge or EKG placement and processing in children, • Ability to obtain laboratory tests via nasal swab, and venipuncture, • Demonstrate a professional and friendly demeanor, • Strong communications and organizational skills, • Prior pediatric experience, • Capable of multi-tasking in a fast-paced environment, • Comfortable with computers, Microsoft Office Suite, • Willing to learn medical software, • Experience with medical records preferred Compensation $19.50 - $25/hour The salary/rate range listed here has been provided to comply with local regulations and represents a potential base salary/rate for this role. Please note that actual salaries/rates may vary within this range above or below, depending on experience and location. We look at compensation for each individual and based on experience and qualifications. EEO Statement PM Pediatric Care is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status or any other characteristic protected by law.

Are you an experienced Trade Desk Support Associate with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Trade Desk Support Associate to work in New York, NY. Title: Trade Desk Support Associate Location: Office Location: 4 Times Square New York, NY- Hybrid 2-3 days a week in office to be discussed with HM Duration: 12 months Job Summary The Trade Desk Support Associate supports front-office sales and trading activities by ensuring timely and accurate trade processing, reconciliation, lifecycle event management, and operational support across financial products. The role partners with traders, sales teams, operations, technology, compliance, and clients to support efficient transaction processing and maintain a strong control environment. Key Responsibilities • Support daily trade capture, validation, and booking activities to ensure accurate downstream processing and settlement., • Investigate and resolve trade breaks, exceptions, and reconciliation discrepancies., • Perform trade affirmation, allocation, and lifecycle event processing activities., • Partner with traders and sales teams to address operational issues, client inquiries, and transaction-related requests., • Monitor transaction processing controls and escalate issues, risks, or regulatory concerns when appropriate., • Coordinate with Operations, Technology, Compliance, and external counterparties to support successful trade execution and settlement., • Support implementation of new products, business initiatives, and technology enhancements., • Maintain process documentation, procedures, and audit evidence in accordance with regulatory and internal requirements., • Participate in testing, system upgrades, and process improvement initiatives to enhance efficiency and scalability. Qualifications & Competencies • Bachelor’s degree in Finance, Business, Economics, Accounting, Computer Science, or a related field preferred., • Up to 5 years of experience in trade support, capital markets operations, middle office, or financial services., • Understanding of capital markets products such as fixed income, equities, repo, foreign exchange, or derivatives., • Experience working with trading systems, market data platforms, and operational workflows., • Advanced Microsoft Excel skills; SQL, VBA, Python, or automation knowledge is an asset., • Strong analytical, problem-solving, and organizational skills., • High attention to detail and transaction accuracy., • Strong risk and control mindset., • Ability to work under pressure in a fast-paced trading environment., • Effective communication and stakeholder management skills., • Strong client service orientation., • Ability to manage multiple priorities and deadlines., • Continuous improvement and process optimization mindset. Typical Functional Activities • Trade Bookings, • Trade Validation & Reconciliation (FOBO), • Trade Affirmation & Allocation, • Break Remediation, • Life Cycle Event Processing, • Sales & Client Support, • Trader Support, • Regulatory Monitoring, • Cash Movement & Settlement Support, • Product and System Testing, • Process Improvement & Automation Initiatives Location This exciting opportunity is based in the vibrant city of New York, offering a dynamic and fast-paced work environment in the heart of the financial industry. Executive Summary • Trade Desk Support Associates provide operational and technical support to sales and trading desks by ensuring accurate transaction processing, managing trade lifecycle events, resolving exceptions, and serving as the primary liaison between front office, operations, technology, and clients.

Position: Senior Product Manager Location: New York, NY (Hybrid – 4 days onsite per week) Duration: DIRECT HIRE – FULL TIME Summary: We are seeking a Senior Product Manager to lead AI-powered products used by clinicians to review patient context, make informed decisions, and complete documentation. You will deliver solutions within major health systems while partnering with engineering, AI/ML, clinical, design, and client-facing teams. Skills/Experience Needed: • Healthcare or health-tech product management experience., • Experience building clinician-facing tools, products, or features., • Experience with clinical workflows and EMR/EHR integrations; Epic experience is highly preferred, although other EMR/EHR platforms may be considered., • Experience launching clinician-facing products on EMR or EHR platforms., • 4+ years of product management experience delivering consumer-facing or B2B2C software., • Experience owning at least one product end-to-end, from an ambiguous problem through launch., • Experience working with AI/ML-powered products, including an understanding of non-deterministic behavior, model evaluation, and AI behavior as part of the product experience., • Strong analytical skills, including independently analyzing data and defining product metrics., • Experience operating in regulated, high-stakes environments., • Client-facing experience presenting to and working with clinical, operational, and executive stakeholders. Responsibilities: • Own clinician-facing products, including intake summaries, AI-generated patient context, review and override workflows, and documentation-support tools., • Manage the end-to-end encounter workflow, from AI-gathered context through clinical decision-making and documentation., • Define how AI-generated information, reasoning, and confidence are presented to clinicians., • Design workflows that allow clinicians to review, correct, or override AI-generated outputs., • Reduce clinical workload by saving time, removing unnecessary clicks, and decreasing documentation burden., • Work directly with practicing physicians to ensure product workflows reflect real clinical behavior., • Partner with clinical leadership on safety reviews and escalation protocols., • Translate clinical trust and safety requirements into measurable, implementable product behavior with engineering and AI/ML teams. Preferred: (Nice to have) • Clinical experience or significant experience working directly with clinicians., • Hands-on experience with LLM evaluation, prompt design, or model-behavior testing.

Software Engineer, Data & ML Infrastructure Location: New York City (Remote to In-Person) Full Time Company: Surgeon Decision Intelligence About Us Surgeon Decision Intelligence (SDI) is an emerging leader in AI-driven medical imaging solutions for orthopedic care. Founded by a team of orthopedic spine surgeons and medical students from the Hospital for Special Surgery, the world’s best orthopedic hospital, our mission is to transform patient care by developing quantitative imaging biomarkers to inform treatment approaches for a broad spectrum of musculoskeletal disease and predict associated outcomes. We combine cutting-edge computer vision, medical image analysis, and machine learning to unlock new insights from MRI imaging, one of the most widely obtained modalities of medical imaging, accelerating the translation of novel imaging biomarkers from research into clinical practice. Our team is passionate about bridging the gap between advanced computational methods and real-world healthcare impact. We work closely with clinical collaborators, surgeons, and research partners to ensure our models meet the highest standards for accuracy, interpretability, and reproducibility. Position Summary We’re hiring a Software Engineer to help build and maintain the data and infrastructure backbone of our AI/ML platform. You’ll work directly with our Senior AI/ML Engineer on the systems that power everything we do: a PostgreSQL clinical and imaging database, cloud storage for medical imaging studies, internal APIs, and the tooling and CI/CD infrastructure that keeps our ML codebase reliable and reproducible. This is a hands-on engineering role, not a research role. You’ll write production Python, own database migrations and data-quality tooling, help migrate legacy code into well-structured packages, and build the internal services that our ML and clinical teams depend on. It’s an excellent fit for an engineer who takes pride in clean, well-tested, well-documented software and wants meaningful exposure to medical imaging and applied ML in a regulated domain. Key Responsibilities • Develop and maintain our PostgreSQL database layer: schema changes, SQLAlchemy ORM models, Alembic migrations, and data-integrity constraints, • Build and maintain data ingestion, validation, and ETL pipelines for clinical outcomes data and medical imaging metadata (DICOM), • Contribute to internal FastAPI services, including endpoints for imaging metadata, annotations, and access control, • Support our Azure cloud infrastructure: blob storage for imaging studies, containerized service deployments, and authentication/authorization workflows, • Help migrate legacy research code into versioned, dependency-managed Python packages following team engineering standards, • Write and maintain CI/CD pipelines, tests, and developer tooling that keep the codebase reliable and reproducible, • Build supporting tooling for ML workflows: dataset extraction and export, experiment/artifact tracking support, and data provenance, • Participate in code review and contribute to team engineering standards and documentation Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, • 3+ years of professional software development experience with Python, • Solid working knowledge of SQL and relational databases (PostgreSQL preferred), including schema design and query optimization, • Experience with software development lifecycle practices such as version control, testing, CI/CD, and collaborative development workflows., • Experience with data and ML infrastructure (e.g., data pipelines, feature stores, model deployment, containerization, orchestration frameworks)., • Experience with cloud-based ML pipelines (Azure) and infrastructure-as-code tools., • Proficiency with Git and collaborative development workflows (branching, pull requests, code review), • Experience writing tested, documented, production-quality code with type hints and modern Python packaging practices, • Strong communication skills and comfort working in a small, fast-moving team Preferred Skills and Qualifications • Experience with an ORM and database migration tooling (e.g., SQLAlchemy and Alembic), • Experience building REST APIs with FastAPI or a similar Python web framework, • Experience with Azure (blob storage, container apps, Entra ID) or another major cloud platform, • Familiarity with Docker and CI/CD systems (e.g., GitHub Actions), • Experience with healthcare data: DICOM, medical imaging pipelines, clinical registries, or EHR-derived datasets, • Understanding of HIPAA and handling PHI in production systems, • Familiarity with ML engineering tooling (e.g., MLflow, model/data versioning) and supporting ML teams, even without direct modeling experience, • Experience with modern Python dependency management (e.g., uv, Poetry) and publishing internal packages, • Experience working in or migrating legacy codebases toward better structure and standards, • Experience with software quality practices for regulated medical software, including requirements traceability, validation, configuration management, and controlled releases, • Experience with orchestration or workflow systems for data/ML pipelines, specifically Databricks. Why Join Us? At SDI, you’ll be part of a mission-driven team working at the frontier of medical AI. You will have the opportunity to: • Contribute to technology that could redefine clinical management of musculoskeletal health and diseases., • Work with a diverse and inclusive multidisciplinary team of engineers and clinicians., • Grow your skills in a dynamic, fast-moving startup environment. Location Remote (U.S.) temporarily, but able to transition to in-person work in New York City in about 6 months. Compensation Highly competitive salary + equity + benefits, commensurate with experience. If you’re excited about our mission, we want to hear from you. The base salary for this role is $140,000 - 175,000. Surgeon Decision Intelligence provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

We are seeking an experienced Technical Designer with a strong background in contemporary or luxury RTW to own construction, fit, and technical documentation across the line. This person will ensure garments are designed for manufacturing from the beginning of development, with a focus on quality, durability, fit, construction standards, and consistency. You will author tech packs, lead fittings, and carry specifications through production approval while partnering closely with the Creative Director, patternmakers, and factories. Key Responsibilities: • Author tech packs and BOMs; own specifications end to end., • Carry specs through PP sample and TOP sample approval., • Manage product wear testing., • Maintain version control across tech packs, specs, and sample rounds., • Lead fittings, approximately three per garment., • Translate the Creative Director’s aesthetic direction into practical construction solutions., • Partner with patternmakers to ensure fit and construction are executed correctly., • Own grading, size charts, and clean flat-lay drawings., • Serve as the technical liaison to domestic and overseas factories., • Establish and maintain clear construction standards for factory partners., • Troubleshoot construction challenges while balancing design intent, quality, and durability. Qualifications: • 7+ years of technical design experience within contemporary or luxury RTW., • Strong woven tailoring experience is essential., • Expert knowledge of garment construction, fit, grading, and specifications., • Experience leading fittings and communicating corrections to patternmakers., • Strong understanding of the development process, from initial sample through production approval., • Experience working with both domestic and overseas factories., • Excellent attention to detail and ability to maintain accurate technical documentation., • Comfortable working independently in a part-time freelance capacity. Required Software and Technical Skills: • PLM fluency, • Tech packs and BOMs, • Specifications and grading, • Size charts, • Flat-lay drawing cleanup

DESKTOP SUPPORT TECHNICIAN – WALK-UP TECH BAR Location: Middletown, NJ 07748 Job Type: 12+ Month Contract | Possible Conversion Pay: Up to $26/hr W2 Benefits: No benefits or PTO included Schedule: Onsite | Business Casual Work Authorization: USC/GC (W2 Only) 3rd party resumes will not considered. Local candidates only JOB SUMMARY We are seeking a Desktop Support Technician to provide onsite IT support through a walk-up Tech Bar in Middletown, NJ. This role will troubleshoot and resolve hardware and software issues across Windows, macOS, Android, and iOS devices while providing a high level of customer service to employees. The ideal candidate has strong hands-on desktop support experience, excellent troubleshooting skills, and the ability to work effectively in a fast-paced, customer-facing environment. RESPONSIBILITIES • Provide onsite desktop and field support through a walk-up Tech Bar, including installation, repair, configuration, and maintenance of IT equipment., • Troubleshoot and resolve hardware and software issues involving Windows, macOS, Android, and iOS devices., • Diagnose complex desktop, hardware, software, and peripheral issues and coordinate escalations when needed., • Assist users with technology questions and provide guidance on proper operation and maintenance of systems and equipment., • Deliver professional, timely, and customer-focused technical support while balancing multiple priorities., • Document user information, reported issues, troubleshooting steps, and resolutions accurately., • Identify recurring technical issues and assist with analyzing trends and potential solutions., • Escalate unresolved issues to the appropriate technical teams for additional testing and follow-up., • Maintain accurate IT asset and inventory records, including equipment and parts transactions., • Communicate technical information clearly to users with varying levels of technical knowledge., • Work collaboratively with the IT support team to meet productivity, service, and customer satisfaction goals. REQUIREMENTS • High school diploma or GED., • 3+ years of desktop, field, or onsite IT support experience., • Hands-on experience supporting corporate hardware, software, peripherals, and mobile devices., • Strong knowledge of computer hardware and software troubleshooting., • Experience supporting Windows and macOS environments., • Familiarity with Android and iOS devices., • Strong customer service and communication skills., • Ability to troubleshoot technical issues while maintaining a professional and empathetic approach., • Strong analytical, problem-solving, organizational, and time-management skills., • Ability to work effectively in a fast-paced, team-oriented environment., • Ability to lift up to 45 pounds., • Must be authorized to work in the United States. WORK ENVIRONMENT • Onsite office environment with a customer-facing walk-up Tech Bar., • Business casual dress environment., • Frequent interaction with employees and end users requiring technical assistance.

What're we trying to solve? Openshelf is building an open-source system to automate physical inventory—combining hardware and software to handle storage, retrieval, and real-time tracking. • The Problem: Managing physical inventory is messy. Manual processes are slow, error-prone, and don't scale. It's hard to know what you have, where it is, or how much space it's taking up., • What We're Doing: We're developing a small-scale AS/RS system that captures weight, dimensions, and location data every time something moves. Our stack runs Python on the backend (FastAPI, hardware orchestration, event-driven robot control) and a SvelteKit frontend, all containerized and deployed on dedicated hardware. We're designing it to be flexible and open so others can adapt, improve, and deploy it across all kinds of environments—not just warehouses with big budgets. The goal is accurate, real-time visibility into physical inventory, made as accessible as possible. What you'll be doing: • Maintaining, debugging, and improving the existing Python backend and hardware control layer under the guidance of senior engineers., • Writing clean, testable Python code that interfaces with physical hardware (motors, scales, barcode scanners, sensors) over serial, Modbus, and GPIO., • Building and maintaining internal tools and dashboards that let the team monitor, configure, and debug production devices., • Working with AI coding agents to accelerate development—we already use them daily and expect you to as well., • Collaborating on software design decisions: API structure, data modeling, error handling, and state management., • Participating in code review, testing, and deployment to real devices in our lab and in the field., • Contributing to the full development cycle from concept through iteration—whether that's a new sensor integration, a performance fix, or an internal utility that saves everyone time. Who are you? • You're passionate about software and excited to work on systems that interact with the physical world., • You have a solid foundation in Python and a genuine curiosity about how the full stack fits together—even if you haven't worked with hardware before., • You're resourceful and have high agency. When you hit something you don't know, you dig in and figure it out rather than waiting for someone to hand you the answer., • You're comfortable navigating uncertainty and working on problems where the requirements aren't fully settled., • You communicate clearly and collaborate well. You're happy to ask questions when you're stuck, and you take feedback as a way to get better., • You're excited to work in-person alongside a small, focused team where your contributions have direct impact on the product and the company. Requirements: • Proficiency in Python—you can write readable, well-structured code and understand common patterns (async, I/O, error handling, testing)., • A baseline of good software engineering practices: version control (git), debugging, reading documentation, and breaking down ambiguous tasks., • Interest in or experience with AI-assisted development (Codex, Claude Code, or similar coding agents)., • Willingness to work with physical hardware and debug real-world systems—motors that don't move, sensors that return garbage data, serial ports that disappear., • Ability to work on-site in midtown Manhattan full-time., • Previous experience with FastAPI, Docker, or automation/robotics is a plus, but not required. Practical Details: • You'll get a competitive salary and stock options—you'll own part of the company., • We're based in midtown Manhattan, and this is an on-site, in-person role. We believe building the best product is the result of continuous collaboration and short feedback loops., • You'll work directly with senior engineers who will guide your work, review your code, and help you grow. Salary & Benefits: • Salary Range: $100-$130k + equity, • Fully covered health, dental, and vision insurance, • Flexible PTO, • Team lunches and off-sites

Location: Middletown/Holmdel, New Jersey Employment Type: Full-time Work Arrangement: on-site laboratory work Role Overview Aloe Semiconductor is a photonics startup developing next-generation optical interconnect technology. We are seeking a hands-on Silicon Photonics Test Engineer to develop and execute wafer-level and die-level testing of photonic integrated circuits (PICs). You will work closely with photonic design, packaging, and senior test engineers to build automated test capabilities, characterize foundry samples, identify performance issues, and generate reliable data for internal development and customer evaluation. Key Responsibilities • Perform wafer-level and die-level optical and electrical characterization of silicon photonic devices and PICs., • Measure key parameters such as insertion loss, coupling loss, wavelength response, extinction ratio, responsivity, DC/IV characteristics, PAM4 eye quality, BER, bandwidth, and RF S-parameters., • Set up and operate tunable lasers, optical spectrum analyzers, power meters, high-speed oscilloscopes, BERTs, VNAs, probe stations, and automated fiber-alignment systems., • Develop and maintain Python-based test automation for instrument control, fiber alignment, data acquisition, and high-throughput testing., • Create repeatable test procedures for engineering characterization, design verification, and production screening., • Analyze measurement data to identify device variation, failure mechanisms, performance trends, and correlations across wafers and dies., • Generate Known Good Die (KGD) reports, wafer maps, yield summaries, and customer-facing performance reports., • Troubleshoot optical, electrical, mechanical, and software issues affecting test accuracy and repeatability., • Coordinate with foundry, packaging, dicing, and external test partners for sample preparation and testing., • Maintain organized sample tracking, test records, calibrated equipment, and laboratory documentation., • Help establish scalable test infrastructure and best practices as the company grows. Qualifications • B.S. or M.S. in Electrical Engineering, Optical Engineering, Photonics, Physics, or a related field., • Practical experience with optical laboratory equipment, such as tunable lasers, OSAs, power meters, high-speed oscilloscopes, BERTs, and automated alignment stages., • Experience using Python for test automation and data analysis, including libraries such as NumPy, Pandas, Matplotlib, and PyVISA., • Ability to analyze experimental data, troubleshoot complex test setups, and communicate results clearly., • Strong attention to measurement accuracy, repeatability, calibration, and documentation. Preferred Qualifications • Experience with silicon photonics, wafer probing, edge or grating-coupler alignment, and die-level characterization., • One or more years of hands-on experience testing photonic, optical, semiconductor, or high-speed electronic devices., • Experience with high-speed optical links, PAM4, coherent optics, or data-center interconnect technology., • Familiarity with RF probing, VNAs, S-parameters, electro-optic bandwidth measurements, and high-speed signal integrity., • Experience developing wafer maps, yield analyses, KGD criteria, or automated production-test workflows., • Familiarity with MATLAB, Python, SQL, Git, or laboratory data-management systems., • Experience working with foundries, packaging vendors, or external test laboratories. Startup Mindset • The ideal candidate is comfortable working in a fast-moving startup where priorities can evolve quickly. You should be proactive, resourceful, and willing to take ownership—from assembling a test setup and debugging automation code to analyzing results and presenting conclusions

Job description: Embedded Software Engineer Location: Whippany, NJ Salary: $50-$70/hr Contract length - 6month to indefinite contract We are seeking an Embedded Software Engineer to support the development, testing, and validation of mission-critical software for advanced power, control, and electromechanical systems. This role will work closely with systems, hardware, and test engineering teams to design, implement, maintain, and verify embedded software solutions in a highly regulated engineering environment. Responsibilities include requirements analysis, software architecture and design, coding, debugging, testing, configuration management, documentation, and system validation throughout the full software development lifecycle. Education & Experience • Experience: 3 to 15+ years of embedded software development experience. Technical Skills • Core Language: Strong proficiency in C for embedded applications., • Additional Languages: Experience in C++, C#, or Python is a plus., • Hardware & Tools: Knowledge of microcontrollers, DSPs, JTAG/emulator-based debugging tools, and version control systems., • Development Practices: Familiarity with coding standards, static analysis tools, code optimization techniques, and quality-focused development practices. Engineering Capabilities • Software architecture and design, • Embedded systems debugging, • Software verification and validation (V&V), • Formal Software Development Life Cycle (SDLC) processes, • Technical documentation development

Summary: This role focuses on the development, testing, and commissioning of advanced control system applications, including PLC and SCADA systems. The position requires expertise in control system hardware, instrumentation, and software, as well as the ability to support project teams and provide customer service and technical support. Responsibilities: • Design, develop, and commission PLC and SCADA control system applications, including advanced features such as analog data handling, scripting, and database interfacing., • Specify, purchase, and troubleshoot control system hardware and instrumentation, including both field and panel-mounted devices., • Read, develop, and review control system design documents and drawings, ensuring accuracy and adherence to standards., • Set up, configure, and test computers and related hardware/software for control system integration and virtualization., • Travel overnight (approximately 10%) to customer sites for commissioning, training, validation, and service support., • Develop and execute software test protocols and simulation code for system validation and troubleshooting., • Prepare and maintain documentation, including commissioning reports, service logs, and technical specifications., • Support project teams by communicating project status, providing technical support, and ensuring high-quality automation solutions for customers. Qualifications: • Bachelor’s degree in engineering, computer science, or engineering technology., • Minimum of three years of experience in control system design and programming., • Recent hands-on experience with Allen Bradley PLC (ControlLogix and/or PLC-5) and SCADA (Wonderware and/or GE iFix) systems., • Proficiency in developing, testing, and commissioning control system applications, including scripting, security, and database configuration., • Ability to specify, purchase, and troubleshoot control system hardware and instrumentation., • Experience with control system design documents, drawings, and standards., • Strong troubleshooting skills and ability to manage multiple assignments., • Valid driver’s license and willingness to travel overnight as required., • Confined space entry training or willingness to obtain it., • Awareness of cGMP procedures and practices as they relate to control systems., • Prior experience in validation is desirable.

Must Have: .Net coder with some AI experience Responsibilities: • Design, develop, and implement software applications using .NET and ASP.NET technologies., • Collaborate with cross-functional teams to gather and analyze requirements, ensuring alignment with business objectives., • Write clean, scalable, and efficient code while adhering to best practices and coding standards., • Conduct code reviews and provide constructive feedback to team members to enhance code quality., • Debug and troubleshoot software issues, implementing effective solutions in a timely manner., • Participate in the full software development lifecycle, from concept through deployment and maintenance., • Stay updated with emerging technologies and industry trends to continuously improve development processes., • Document software designs, processes, and technical specifications for future reference. Mandatory Skills: • Proficient in Microsoft Technologies, specifically .NET and ASP.NET development., • Strong understanding of object-oriented programming principles and design patterns., • Experience with web services, RESTful APIs, and integration with third-party systems., • Familiarity with front-end technologies such as HTML, CSS, and JavaScript., • Knowledge of database management systems, particularly SQL Server., • Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Preferred Skills: • Experience with cloud platforms such as Azure or AWS., • Familiarity with Agile methodologies and software development best practices., • Knowledge of version control systems, particularly Git., • Experience with automated testing frameworks and tools.

Principal Network Engineer Salary: Starting at $190k + bonus Location: New York, NY Hybrid: 4 days onsite, 1 day remote We are unable to provide sponsorship for this role Qualifications • 10+ years of hands-on network engineering experience in mission-critical, low-latency environments, with a strong track record operating and evolving high-performance network infrastructure, • Deep expertise in low-latency and deterministic network design, including practical experience analyzing latency, jitter, and end-to-end traffic behavior in production environments, • Advanced knowledge of routing protocols at scale, including BGP, OSPF, MPLS, and multicast (PIM-SM/SSM), with proven experience designing resilient, highly available global networks, • Strong understanding of network hardware and platform capabilities across major vendors, with the ability to evaluate limitations and optimize design decisions through hands-on research and lab validation, • Experience designing and supporting hybrid cloud connectivity, including AWS networking constructs such as Direct Connect, Transit Gateway, VPCs, and route integration, • Proven experience building and maintaining Python-based network automation, including API-driven and SSH-based approaches for configuration management, testing, and operational efficiency, • Working knowledge of observability and telemetry concepts, with exposure to platforms such as Prometheus, Grafana, or similar tools for network visibility and performance analysis, • Strong background in leading technical research, proof-of-concept validation, and pre-implementation design for large-scale network initiatives, • Solid understanding of network security fundamentals, including segmentation, access control, and zero-trust principles as they apply to network design Responsibilities • Design and evolve low-latency, highly resilient network architecture across global data center, co-location, and cloud-connected environments, with a focus on deterministic packet forwarding, scalability, and operational consistency, • Lead advanced routing design and implementation across complex global environments, including BGP, OSPF, MPLS, multicast, hybrid cloud connectivity, traffic engineering, and high-availability network patterns, • Conduct deep technical research, lab validation, and pre-implementation testing for major network initiatives, working closely with engineering and software development teams to evaluate hardware capabilities, identify design constraints, and optimize exchange performance based on findings, • Lead high-complexity strategic projects from design through execution, producing detailed technical designs, migration runbooks, capacity plans, and implementation guidance for large-scale network changes, • Develop and maintain Python-based network automation to support configuration management, change validation, testing, and operational efficiency, with direct experience using both API-driven and SSH-based automation approaches, • Partner across infrastructure, security, application, and business teams to align network design and delivery with technical requirements, operational goals, and broader organizational priorities, including support for budgeting and planning related to network hardware and software investments, • Serve as a senior technical leader and mentor across the engineering organization, driving architecture reviews, design standards, knowledge sharing, and technical development for other engineers, • Operate effectively in a fast-moving, dynamic environment where priorities can shift, balancing long-term architectural direction with immediate engineering and operational needs, • Contribute to monitoring and telemetry strategy by helping define meaningful visibility requirements and supporting the use of tools such as Prometheus, Grafana, or similar platforms where they improve operational insight and troubleshooting, • Support the development of technical standards, design documentation, and regulatory or audit-facing materials when needed, including documentation that may be used to support SEC or other regulatory review processes

Lawrence Harvey is partnered with a financial services firm that's looking to expand their security team. This client is looking for a D&R Engineer to take ownership of the program and build it from the ground up. The Opportunity We are seeking a Principal Detection & Response Engineer to take ownership of the organization's detection and response capabilities across a complex, highly regulated environment. This is a senior individual contributor role with broad technical ownership across the full detection and response lifecycle: from telemetry collection and threat intelligence through detection engineering, AI-assisted triage, investigation, and incident response. The ideal candidate is highly hands-on, technically strong, and passionate about engineering detection and response capabilities rather than simply operating them. You will set technical standards, build scalable security tooling, improve automation, and apply AI where it can meaningfully improve security operations. What You'll Do • Own the end-to-end detection and response pipeline, including telemetry collection, processing and enrichment, detection, AI-assisted triage, investigation, escalation, and incident response., • Build and maintain an intelligence-informed prioritization framework that translates threat intelligence and organizational risk into prioritized hardening, detection, and automation initiatives., • Develop detections as code, including versioned, tested, peer-reviewed detection logic and pipeline configuration mapped to MITRE ATT&CK or a comparable framework., • Engineer, tune, and operate SIEM, security data pipelines, EDR, SOAR, and case-management platforms to improve signal quality, coverage, reliability, and cost efficiency., • Establish standards for alert triage, investigation, escalation, and response while developing tooling and AI-assisted workflows to support those standards., • Participate in an on-call rotation and remain directly involved in the operational realities of detection and response., • Lead incident response from identification through containment, investigation, remediation, and post-incident activities across corporate, cloud, production, and operational technology environments., • Develop detection and response coverage for threats, • Evaluate and implement new security technologies and AI capabilities, including rigorous testing, guardrails, and build-vs-buy-vs-retire recommendations., • Lead tabletop exercises and continuously improve incident response playbooks., • Partner closely with Security Engineering, Infrastructure, Platform, and GRC teams., • Translate technical threats into business risk, security controls, and executive-level communication., • Mentor engineers and help establish a higher engineering standard across the broader security operations function. Required Experience • 10+ years of experience across security operations, detection engineering, and incident response, including experience building or maturing detection and response capabilities in complex environments., • Strong software engineering skills in Python or Go, including API-driven integrations and automation., • Experience with Infrastructure as Code and detections as code, ideally using Terraform and Git-based development/review workflows., • Proven experience designing, operating, and measuring an end-to-end detection and response program across modern SIEM, security data pipeline, EDR, and automation platforms., • Strong experience detecting and responding in cloud and identity-centric environments, including AWS, Okta or another enterprise identity provider, Microsoft 365 or Google Workspace, and SaaS audit logging., • Strong understanding of attacker tactics, techniques, and procedures, with the ability to translate threat intelligence into high-fidelity detections and prioritized security improvements., • Demonstrated use of AI in security operations, including LLM-assisted investigation and detection development, agentic tooling, and integrations such as Claude Code and MCP., • Strong judgment around AI-generated output, including the ability to identify when models are inaccurate or introducing risk., • Ability to operate at a principal-level IC capacity, setting technical direction and influencing teams without direct authority., • Strong communication skills with the ability to connect threat → risk → control → business impact.

Cytogenetic Technologist & BIOINFORMATICS CYTOGENETIC TECH New York, NY MUST HAVE CANCER CYTOGENETICS EXPERIENCE CALL OR TEXT KATHY @ STAFF ICONS AT 551-795-1471 OR CALL/TEXT IBIANKA AT STAFF ICONS AT 201-925-4047 The Tumor Cytogenomics laboratory provides comprehensive genomic services for malignant hematological disorders, lymphomas and some solid tumors including breast cancer, sarcoma, urothelial carcinoma, melanoma, lung cancer etc. The Tumor Cytogenomics laboratory performs chromosome analysis for the diagnosis of acquired genomic rearrangements associated with hematopoietic disorders and some solid tumors. Complementary molecular technology using chromosomal, gene-specific probes, through fluorescence in situ hybridization (FISH) and array comparative genomic hybridization with single nucleotide polymorphism (aCGH+ SNP) used to document molecular rearrangements, such as gains, losses, and gene rearrangements providing additional information on genomic changes that are not otherwise detected with other clinical tests. The cytogenetics, FISH, and aCGH +SNP results are mandatory for the diagnosis, prognosis, risk stratification and have therefore therapeutic implications for patients. Job Summary The Tumor CytoGenomics technologist must hold a NYSDOE license with a minimum of one year of laboratory experience in cytogenetics (may include one year as part of training for licensure). For each technologist, it is required to: • To perform all techniques involved in processing patient samples including peripheral blood, bone marrow, and other tumor tissue., • Possess technical understanding of microscopy (bright field, phase, inverted light, fluorescence), and utilize it for routine maintenance and calibration necessary for daily work., • To provide extensive analysis and evaluation of chromosomal preparations, having a thorough knowledge in cytogenetics theory and principles., • To provide extensive analysis using FISH technology (basic knowledge in FISH clinical testing)., • To provide clinical correlations of observed abnormalities with diagnostic and prognostic stages in disease states., • To provide extensive analysis using aCGH+SNP (basic knowledge in molecular testing is required for test interpretation)., • Ability to discern acquired genetic variants (molecular and chromosomal) against the disease background is expected., • To perform base-line functional checks, quality checks and basic maintenance records of high complexity testing equipment (automated microscopy, digital imaging, and robotic processor)., • To provide technical assistance in evaluating the effectiveness and efficiency of new protocols, learn and practice modern developments in cancer CytoGenomics., • To work solely with sophisticated CytoGenomics software (automated image capture and scanning software, array software) integrated with laboratory information system, to produce result reports. Basic technical knowledge in computers and interface connectivity for peripheral devices is necessary., • To demonstrate proficiency with Soft Gene Cytogenetics module (SCC) from specimen processing all the way through result reporting; including database searches; and result retrieval based on the knowledge of hospital laboratory interface system (LIS). Responsibilities • Adhering to the laboratory's standard operating procedure (SOP) for specimen handling and processing, test analyses for conventional and molecular (FISH) cytogenetics, reporting and maintaining records of test examinations., • Follow the laboratory's policies and procedures whenever test systems are not within the laboratory's established acceptable levels of performance, • Maintain up-to-date knowledge of state, federal and institutional standards regulatory compliance for accreditation and certification: College of American Pathologist (CAP), New York State Department of Health (NYSDOH), and others., • Maintain records that demonstrate that proficiency testing samples are tested in the same manner as patient specimens., • Adhere to the laboratory's quality control policies, document all quality control activities, instrument and procedural calibrations and service records., • Be capable of identifying problems that may adversely affect test performance or test results and either correct the problems or immediately notify the supervisor or director., • Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications., • To perform expedited analysis of cases with an acute conditions; requiring, to work outside of the normal working hours, under pressure. Laboratory personnel rotate by working during holidays, weekends and late-shift assignments., • Learn and master new and improved cytogenetic and molecular methods to increase the efficiency of testing and reduce TAT of clinical tests. This includes laboratory developed tests (LDT's): assay development, testing, method validation, and implementation., • Be proficient with the laboratory-used LIS system developed for cytogenetic testing, and troubleshoot basic issues pertaining to it., • Interact with physicians, nurses, and physician assistants regarding patient results, treatment status, and consult on specimen sampling., • Provide preliminary results of STAT/RUSH specimens, to the Supervisor and Director, for immediate communication to the physicians (critical alerts). Aptitude in this capacity is reached within 1 year of work., • To actively teach pathology residents/fellows on rotation (6-10/year); and to train new junior staff members as per the Accreditation Council for Graduate Medical Education (ACMGE) requirements. Qualifications : • Must have bachelor's degree (BA or B.Sc. or B.S.) in a science discipline., • NY Clinical Lab Technologist generalist license or restricted to cytogenetics, • Must have either a minimum of one year training in a facility approved by the NYSDOE license (Cytogenetics) or a degree in molecular cytogenetics, or be a trainee in the lab for a year., • Recommend holding a certificate of qualification, from an approved agency such as American Society of Clinical Pathology (ASCP)., • Performance of a technologist in a cytogenetic laboratory is entirely dependent on experience in a busy clinical lab. Bioinformatics – Cytogenetics/FISH Technologist Location: New York Schedule: Full-Time Job Summary We are seeking a Bioinformatics – Cytogenetics/FISH Technologist with experience supporting genomic analysis workflows, particularly within cancer genomics, long-read sequencing, germline and somatic variant analysis, and complex structural variation. This position will focus heavily on the development, integration, optimization, and troubleshooting of bioinformatics workflows used to analyze complex genomic datasets. The successful candidate will have the ability to identify clinically relevant genomic alterations, including large chromosomal aberrations, structural variants, germline variants, and somatic variants, while working with multiple sequencing and variant-calling platforms. Experience in Cytogenetics and/or FISH is highly desirable because it provides additional insight into chromosomal abnormalities and complex genomic variation; however, this role is primarily focused on computational genomic analysis and bioinformatics workflow development.

Mission of the Role The ET&T (Enterprise Technology & Transformation) US Site Specialist acts as the primary technology representative for the US affiliate, ensuring efficient delivery of IT services, operational continuity, and effective alignment with ET&T standards. The role is responsible for coordinating local IT activities, supporting business users, managing relationships with local IT service providers, and acting as the primary interface between the US organization and corporate Strategy, Infrastructure, Applications, Service Desk, Data & AI Information Security and ET&T QA/IS teams. The position requires a hands-on professional capable of independently managing daily operational issues while coordinating the resolution of more complex incidents involving corporate support teams and external vendors. Key Responsibilities Local IT Operations & User Support • Serve as the primary IT contact for all employees within the US affiliate., • Management of first/second level problems through a structured ticketing flow, • Provide hands-on support for hardware, software, mobility, collaboration, and workplace technologies., • Coordinate and oversee incident and service request resolution., • Monitor user satisfaction and ensure timely response to operational issues., • Support onboarding, role changes, and offboarding activities according to HQ ET&T processes., • Assist local users in the adoption and effective use of corporate IT solutions. Coordination with HQ ET&T Teams • Act as the local liaison between US business functions and HQ ET&T., • Coordinate the resolution of complex infrastructure, network, workplace, and application issues., • Escalate incidents and requests to the appropriate HQ teams., • Support implementation of global IT initiatives, upgrades, and transformation programs., • Facilitate communication between local stakeholders and technical experts., • Ensure adherence to global standards, policies, and governance models. Vendor & Managed Service Provider Management • Coordinate daily activities performed by the local IT service provider., • Monitor service quality and compliance with agreed service levels., • Manage operational escalations involving local vendors., • Review recurring issues and ensure corrective actions are implemented., • Support HQ Procurement and ET&T functions in vendor performance evaluations., • Ensure external providers comply with corporate security and compliance requirements. Infrastructure & Workplace Services • Coordinate support activities related to:, • End-user devices, • Microsoft 365 services, • Printers and peripheral devices, • Meeting room technologies, • Local network connectivity, • Telecommunications services, • Maintain visibility on the health and performance of local IT services., • Support asset lifecycle management and inventory controls., • Coordinate local installations, relocations, and infrastructure upgrades. Business Applications Support • Act as first local point of contact for business application issues including SAP-related end-user issues., • Support users in day-to-day operational activities involving corporate applications., • Coordinate with HQ Application teams to resolve incidents and implement enhancements., • Participate in testing activities, user acceptance testing, training initiatives, and deployments., • Collect and document business requirements and improvement requests from local stakeholders., • Support and coordinate SAP-related change requests, minor enhancements, and release/testing activities (e.g., regression and user acceptance testing) in coordination with HQ SAP teams and Quality/Validation functions, ensuring compliance with GxP change control requirements. Information Security, Compliance & Governance • Ensure local adherence to HQ ET&T, IS (Information Security) and ET&T QA/IS policies and procedures., • Support cybersecurity awareness and compliance initiatives., • Assist during internal audits, inspections, and compliance reviews., • Report potential security risks, vulnerabilities, and policy deviations., • Support implementation of security controls and remediation plans defined by HQ teams. Continuous Improvement • Identify recurring operational issues and propose improvement opportunities., • Support automation and standardization initiatives., • Maintain accurate IT documentation, asset records, and support procedures., • Contribute to improving service quality and user experience across the US organization. Profile Requirements Education • Bachelor’s degree in Information Technology, Computer Science, Engineering, Business Information Systems, or related field. Experience • 3-5 years of experience in IT Operations, Service Desk, Infrastructure Support, or End User Services roles., • Experience in a multinational environment is preferred., • Previous experience working with external IT service providers or managed services partners., • Experience supporting both business and technical stakeholders., • Exposure to regulated industries such as pharmaceutical, healthcare, medical devices, or manufacturing is considered an advantage. Technical & Digital Competencies Good understanding of: • Microsoft 365 ecosystem, • Windows operating systems, • Active Directory / Microsoft Entra ID, • Endpoint and device management, • Basic network troubleshooting, • VPN and remote access technologies, • IT Service Management processes, • Incident, Request and Change Management, • Basic understanding of SAP navigation, ticketing, and core business processes (e.g., order-to-cash, procure-to-pay), • Collaboration platforms such as Microsoft Teams and SharePoint Preferred: • Microsoft Intune, • Azure fundamentals, • ServiceNow or equivalent ITSM solution, • SAP user support experience, • ITIL Foundation certification Skills & Competencies • Strong customer and service orientation., • Excellent troubleshooting and analytical skills., • Hands-on attitude with strong ownership mentality., • Ability to prioritize activities in a fast-paced environment., • Strong communication and stakeholder management skills., • Ability to coordinate multiple teams across different geographies., • Collaborative and team-oriented mindset., • Ability to work independently with limited supervision., • Strong organizational and documentation skills. Success Measures Within the first 12 months, the ET&T US Site Specialist is expected to: • Become the trusted IT partner for the US affiliate., • Ensure effective coordination between local users, HQ ET&T, and external service providers., • Improve responsiveness and quality of IT support services., • Reduce recurring incidents through proactive management and escalation., • Ensure compliance with HQ policies and standards. Contribute positively to user satisfaction and operation

Please note: This is not an IT or Software Support role. This position focuses on hardware support for WAZER waterjet machines. Candidates should have experience with mechanical systems, hardware maintenance, or machine troubleshooting. WHY WE NEED YOU: WAZER is the creator of the world’s first desktop waterjet cutter. We’ve brought industrial-grade precision to the workshops of designers, engineers, and makers everywhere. As we continue to grow, we are looking for a Hardware Support Engineer who is passionate about solving complex mechanical puzzles and facilitating excellent user experience. We are looking for energetic, adaptable and clever team members that can think on their feet to solve problems that pop up as well as work to continuously improve our systems and processes. YOUR DAILY ROLE: As a Tier 2 Hardware Support Engineer, you are the bridge between our users and our engineering team. You will handle challenging technical escalations involving component failure, cut quality concerns, and monitor recurrence of issues to determine which should be escalated to the Product Development team. Beyond helping users to fix their machines, you will be a systems architect for our support department, identifying bottlenecks and implementing the tools and workflows necessary to make our support system run as efficiently as our waterjets. TECHNICAL SUPPORT ENGINEER DAILY ROLE: • Diagnose and troubleshoot hardware, software, and firmware issues remotely via email, phone calls, and video calls to guide users through mechanical repairs, • Act as the primary escalation point for complex technical issues that Tier 1 cannot resolve., • Act as the first level of support for our Reseller Network, • Deescalate sensitive situations with users, • Document user problems and the actions taken to solve them and update troubleshooting procedures accordingly, • Work with Product Development engineers to develop short term and long term solutions, • Develop proactive web support content to help users solve common issues you’ve seen repeatedly, • Manage and optimize our support systems to improve quality of support and response times, • Maintain an inventory of replacement parts in our warehouse AD-HOC RESPONSIBILITIES • Warehouse duties related to machines coming in for testing, • Aid in the refurbishment of machines, • Overseeing the machine replacement process, • Maintain inventory of relevant parts MUST HAVE QUALIFICATIONS: • 3+ years in a customer-facing technical support or field service role, ideally dealing with complex hardware (CNC, 3D printers, robotics, or industrial machinery)., • Comfortable communicating with non-technical users to explain complex technical troubleshooting and repair, • Technical proficient verbal and written communication skills - an ability to translate "Engineering-speak" into clear instructions for a user, • Proficiency in mechanical assembly, electronics troubleshooting (multimeters, wiring diagrams), and software/firmware root cause analysis, • You don't just fix the problem; you want to know why it happened and how to prevent it going forward, • Well-organized and willing to work independently with a strong sense of personal organization., • Familiarity with 2D CAD - can open and manipulate an existing sketch, • Ability to lift heavy (~60lbs) objects alone and team lift heavy (~120lbs) objects with another person, • Ability to commute to Yonkers, NY, • Don’t mind getting your hands dirty NICE TO HAVE QUALIFICATIONS: • Digital content creation, • Experience maintaining Inventory in a warehouse setting, • Have worked with CRM systems (zendesk, salesforce, etc), • You are a maker, a hacker, a craftsperson, tinkerer, or generally curious and creative, • Degree/Experience in a technical area, for example architecture, engineering, industrial design, science, and metalworking, etc., • Highly functional at 2D CAD, • Trade or technical background, • Passion about WAZER’s mission of bringing affordable digital cutting solutions to makers, small business, artisans, and schools. While it would be great to bring on experienced talent for this role, we’ll accept any qualified candidate. If you are passionate about our mission, are good at what you do, and want to learn quickly don’t hesitate to contact us. Be open about what you don’t know and what you excel at, and we’ll do our best to evaluate this with our specific needs! COMPENSATION: Employee Health Insurance, Paid Vacation, Paid Holidays, Paid Sick Days, Opportunities for Overtime, WAZER equity (stock options), Opportunity for advancement in a fast-growing company.

One of our direct Financial Services client is hiring for the below role in International Regulatory Reporting or compliance implementations, below are the details: Title: Business Analyst / Project Manager Location: New York, NY Duration: 12 months YOUR ROLE: Coordinate the end-to-end implementation of regulatory reporting mandates and lead the transition into sustainable post-production support. This role will manage country rollout planning, stakeholder alignment, readiness governance, issue intake, triage, escalation, and root-cause resolution to ensure compliant, timely implementations and stable production operations across, vendor, product, technology, tax, compliance, legal, and country teams. YOUR CORE RESPONSIBILITIES: • Coordinate implementation planning for new mandates, including scope, milestones, dependencies, readiness gates, and required stakeholder engagement, • Facilitate discovery workshops and regulatory applicability assessments with country teams, tax, compliance, legal, vendor partners, and product and technology teams, • Manage assigned workstreams through intake, discovery, requirements, design, build coordination, testing support, go-live readiness, hyper care, and transition to run, • Drive cross-functional decision-making on compliance needs, process impacts, operational changes, data requirements, technology dependencies, and vendor or platform implications, • Maintain project-level RAID logs, open-item trackers, decision logs, dependency trackers, action registers, and auditable implementation documentation, • Establish and run the post-production support process, including issue intake, severity classification, ownership routing, escalation paths, and response expectations, • Assess reported production issues, determine business and regulatory impact, identify accountable owners, and coordinate timely resolution across, vendors, product, and technology partners, • Capture lessons learned, recurring issues, root causes, control gaps, and documentation updates to improve future rollouts, production stability, and support readiness Required qualifications • 5+ years in program/project management delivering complex, multi-workstream regulatory, tax or enterprise technology change programs., • Demonstrated experience managing fixed date international regulatory reporting or compliance implementations (e.g., transaction level reporting, statutory/cross border reporting, VAT/GST digital compliance, SOX/financial controls programs) across multiple countries or business units simultaneously., • Hands on experience with formal program governance tooling: RAID/decision logs, readiness/entry exit criteria, Gantt/critical path tracking (e.g., MS Project, Smartsheet, Jira/Confluence) and executive status reporting., • Experience managing delivery through third-party advisory/systems integration partners (e.g., Deloitte, other Big 4 or SI firms) and software vendors., • Working knowledge of finance/tax systems landscapes to test whether reported technical or business status is credible., • Bachelor's degree in Business, Finance, Information Systems or a related field, or equivalent professional experience., • PMP, PgMP or equivalent formal program management certification. Preferred qualifications • Experience standing up controls/compliance operating models from an early or immature state., • Agile/Scrum delivery certification in addition to traditional program management credentials., • Experience presenting and managing escalations with senior stakeholders EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets. Role Description The Senior Cloud Solution Architect will provide overall technical leadership for the AWS migration. This individual will be responsible for defining the target-state architecture, establishing migration patterns and standards, validating solution designs, and ensuring that all application, infrastructure, security, and operational requirements are addressed throughout the program lifecycle. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $140k - $160k/year & benefits (see below). Qualifications • 12+ years of enterprise architecture and software engineering experience., • 8+ years designing and implementing cloud-based solutions., • Demonstrated experience leading large-scale cloud migration and modernization programs., • Deep expertise in AWS services, cloud-native architectures, infrastructure automation, resiliency, security, and disaster recovery., • Experience working within highly regulated financial services environments., • Strong stakeholder management and communication skills, with the ability to engage senior technology and business leadership. Key Responsibilities • Define and govern the target-state architecture., • Lead application assessment and migration strategy development., • Establish architectural standards, patterns, and guardrails., • Provide technical oversight for migration, testing, cutover, and decommissioning activities., • Identify and mitigate architectural, operational, and security risks., • Support governance, design reviews, and executive-level decision making. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 22 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

About the job Telecommunications Estimator East Hanover, NJ | Full-time | On-site About Millennium Communications Group Inc. (MCG) Millennium Communications Group Inc. is a 100% employee-owned technology infrastructure and telecommunications company delivering advanced network solutions for public and private sector clients. Our capabilities span fiber optic infrastructure, structured cabling, outside plant construction, wireless networks, physical security, data center infrastructure, and managed technology solutions. From initial design and engineering through construction, integration, testing, and closeout, Millennium provides turnkey solutions for complex technology projects throughout the region. The Role Millennium is seeking an experienced Telecommunications Estimator to support the development of accurate, competitive, and complete estimates for telecommunications, network infrastructure, fiber optic, structured cabling, and related technology projects. The Estimator will work closely with our Sales, Engineering, Solutions, Project Management, and Operations teams to review opportunities, interpret plans and specifications, develop labor and material requirements, obtain vendor and subcontractor pricing, and prepare detailed project estimates. This position is ideal for someone who understands how telecommunications projects are actually built in the field and can translate drawings, specifications, scopes of work, and customer requirements into a complete and executable project budget. Key Responsibilities • Review drawings, specifications, bid documents, addenda, scopes of work, and customer requirements, • Develop detailed estimates for telecommunications and low-voltage infrastructure projects, • Perform quantity takeoffs for cable, fiber, pathways, equipment, hardware, and associated materials, • Develop labor estimates based on project scope, installation conditions, productivity assumptions, and project schedules, • Prepare pricing for structured cabling, fiber optic systems, outside plant infrastructure, network deployments, physical security, and related technology systems, • Solicit and evaluate vendor, distributor, manufacturer, and subcontractor quotations, • Identify scope gaps, exclusions, assumptions, risks, and potential change-order exposure, • Review prevailing wage, union labor, project labor agreement, bonding, insurance, permitting, logistics, and other project-specific cost requirements, • Coordinate with Engineering and Solutions teams to validate system designs, bills of material, and technical requirements, • Work with Sales and Business Development teams to develop competitive bid strategies and pricing, • Participate in pre-bid meetings, site walks, scope reviews, and internal bid reviews, • Prepare estimate summaries, proposal pricing, alternates, allowances, and value-engineering options, • Support project handoff from estimating to Project Management and Operations following award, • Maintain accurate historical pricing, labor productivity data, and estimating assumptions, • Assist with change-order pricing and project cost reviews as needed, • Manage multiple estimates and bid deadlines simultaneously Required Qualifications • Experience estimating telecommunications, low-voltage, structured cabling, fiber optic, electrical, or technology infrastructure projects, • Strong understanding of construction drawings, specifications, plans, and bid documents, • Working knowledge of labor and material estimating, quantity takeoffs, and project costing, • Familiarity with fiber optic cabling, copper structured cabling, pathways, racks, cabinets, network infrastructure, and related systems, • Strong proficiency with Microsoft Excel and estimating or project management software, • Ability to develop organized, detailed, and defensible estimates, • Strong analytical skills and attention to detail, • Ability to identify project risks, missing scope, constructability concerns, and cost impacts, • Strong written and verbal communication skills, • Ability to work collaboratively across Sales, Engineering, Operations, Project Management, vendors, and subcontractors, • Ability to manage multiple deadlines in a fast-paced environment, • Valid driver's license and ability to travel to project sites as needed Preferred Qualifications • Experience estimating outside plant fiber and Fiber-to-the-Home (FTTH) construction, • Experience with public-sector, municipal, K-12, higher education, healthcare, or data center projects, • Knowledge of prevailing wage, union labor, and public bidding requirements, • Experience with physical security, wireless, access control, video surveillance, or network infrastructure, • Familiarity with estimating platforms, Bluebeam, takeoff software, CRM systems, or construction management platforms, • Field, project management, engineering, or telecommunications construction experience What We Offer • Competitive compensation based on experience, • Medical and dental insurance, • 401(k) retirement plan, • Employee Stock Ownership Program (ESOP), • Paid Time Off (PTO), • Career advancement opportunities across estimating, engineering, project management, operations, and leadership, • The opportunity to work on large, complex infrastructure projects within a growing 100% employee-owned company At Millennium, employees are more than members of the team—they are owners of the company and share in the long-term success we create together. Millennium Communications Group Inc. is an Equal Opportunity / Affirmative Action Employer.

Senior Data Engineer — Contract Location: Hybrid — 3 days/week onsite in Newark, NJ About the Role Join a major investment firm as a Senior AWS Data Engineer supporting enterprise data platform initiatives. This role focuses on building scalable data pipelines, CI/CD automation, and end-to-end data solutions across the AWS ecosystem. Experience with Informatica (data catalogue, marketplace, data lineage, data quality), Denodo, and/or Ataccama is a strong plus. Qualifications • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience, • 8+ years of experience as a Data Engineer on the AWS stack, including DevOps tooling, • AWS Solutions Architect or AWS Developer Certification required, • Strong hands-on experience with AWS services, including:, • CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, • RDS, Redshift, DynamoDB, Lambda, Step Functions, • IAM, KMS, SM, EventBridge, EC2, SQS, SNS, • LakeFormation, CloudWatch, CloudTrail, DataSync, DMS, • Experience implementing high-velocity streaming solutions using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred), • Proven experience building AWS data lake/data warehouse solutions, • Skilled in designing, developing, and implementing data ingestion pipelines on AWS, • Knowledge of ETL/ELT implementation for data solutions, • Experience delivering end-to-end data solutions: ingest, storage, integration, processing, and access, • Familiarity implementing RBAC strategies using AWS IAM and Redshift RBAC model, • Experience building and implementing CI/CD pipelines using CloudFormation and Jenkins, • Strong programming skills in Python, Shell scripting, and SQL, • Experience with SQL stored procedures for data analysis, • Experience building automated pipelines to ingest data from relational databases, file systems, and NAS shares into AWS RDS, Aurora, and Redshift, • Experience building automated pipelines to ingest data from REST APIs into AWS S3 and relational databases, • Solid DevOps background, including:, • Bitbucket (source code management), • Python, Shell, Groovy scripting, • API deployment for tooling integration, • Jenkins and CloudBees (Pipeline as Code, Shared Libraries), • SonarQube, Artifactory, and similar DevOps tools, • Maven, MS Build, Gradle, • Docker, • Jira and Confluence, • Infrastructure as Code via CloudFormation, • Experience creating Jenkins CI pipelines integrating Sonar/security scans and test automation, • Ability to accurately document exceptions, issues, action plans, meeting minutes, and lessons learned Responsibilities • Design, build, and maintain efficient, reusable, and reliable code, • Ensure optimal performance and quality of high-scale data applications and services, • Participate in system design discussions, • Independently perform hands-on development and unit testing, • Collaborate with the development team to integrate components into the enterprise data platform, • Work cross-functionally with product, QE/QA, and other teams throughout the full software development lifecycle, • Identify and resolve performance issues, • Stay current with emerging technologies and implementation practices, • Participate in code reviews to ensure standards and best practices are met, • Take ownership of estimating, planning, and managing tasks in an Agile environment, • Take shared responsibility for software quality rather than relying on separate QA teams, • Collaborate closely with all team members toward shared goals, • Engage with users as needed to clarify requirements

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Lead Consultant, In this role, you will be responsible for coding, testing, and delivering high quality deliverables, and should be willing to learn new technologies. Responsibilities · Effectively work with PMO, development, product management, business and technical operation, system engineering, infrastructure, network and architecture teams · Design and develop front end react /angular based application. · Perform new development, maintenance fixes and enhancement to meet business requirement · Draft and review architectural diagram, specifications, business requirement as well as various design documents · Work with our existing technology stack in (Java, C++, Linux, Unix, open-source platform, and SOA as well as new technology for our next generation solution · Documents technical requirements, program and subsystem design, resolutions to system problems, project task description, effort estimate, and unit and integration test · Maintain awareness of industry training, compliance concerns, risk control process, and regulatory landscape · Mentor other software developers Qualifications we seek in you! Minimum Qualifications · BE/B Tech/MCA · Excellent written and verbal communication skills Preferred Qualifications/ Skills · Web development in JavaScript, React, Angular, and TypeScript, RxJS. A Solid understanding of responsive design development and mobile web best practices · Proficient understanding of code versioning tools, such as git and Bitbucket · Practical experience and understanding of low-latency messaging middleware · Practical experience working within the Scrum framework and agile methodology · Must possess strong analytical, troubleshooting, and problem-solving skills · Willingness to occasionally wander into other areas, for example, back in DevOps, other team codebases, and shape end-to-end solutions · Drive to learn, grow, and make things better than you find them · Self-motivated, highly organized, team player who thrives in a fast-paced environment with the ability to learn quickly and work independently. · Knowledgeable in financial markets, banking, or wealth management · Familiar with related non-development fields (product, UX, business analytics, information mapping, etc.) · Experience with Java, Spring, Springboard, Hibernate, UI development · Practical experience with relational databases (Oracle, Sybase) Why join Genpact? • Lead AI-first transformation – Build and scale AI solutions that redefine industries, • Make an impact – Drive change for global enterprises and solve business challenges that matter, • Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills, • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace, • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build, • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. The approximate annual base compensation range for this position is $55000 to $68500. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant’s experience, knowledge, skills, and abilities; geographic location; and internal equity. Work-from-Anywhere Roles – “Los Angeles California-based candidates are not eligible for this role” ·Location-based Roles (e.g., Richardson roles – metro area can be adjusted by role location) – “Los Angeles, California based candidates are not eligible for this role. area candidates are eligible for this role only Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Project Description: DXC Luxoft has one of the world's leading Murex practices. We are a top-tier Murex Alliance Partner and a market leader in implementation, integration, upgrade, and migration. We provide end-to-end project services and have delivered over 200 successful Murex projects across all major asset classes and sectors including investment banking, asset management, corporate treasury, and insurance. This is a contractor position. Whether you possess a background in finance, technology, or Mathematics, your experience in the capital markets industry would be of high interest to us. Responsibilities: Testing responsibilities would include, but not limited to: • contribution to creation of a Test Design Document (TDD) and own testing outcomes at the project level, • Interaction with all up and downstream parties involved in testing, • Knowledge in technical environments such as SQL, XML, Unix, Windows, • Knowledge in CI tools like Jenkins, GitLab, Azure DevOps and others, • Strong understanding of version control systems such as GIT., • Experience with automation tools and scripting languages., • Knowledge in capital market is a plus., • Experience in the Software Engineering Industry, Software Quality & Testing, Test Management is a plus., • ISTQB certification or equivalent is a plus., • Communication and presentation skills, • Analytical thinking and problem-solving skills, • Teamwork and cross group collaboration, • Drive for excellence, • Eagerness to learn and develop on a broad scope (functional, product, finance, testing and technical), • Ability to work under pressure in a continuously evolving & challenging environment., • Build and manage personal Test schedule, • Manage and resolve testing conflicts, • Work closely with the analysis team to ensure clear testable acceptance criteria are part of the defined requirements, • Ensure that we have full traceability of test cases back to requirements, • Ensure that we understand test coverage at each stage, • Plan the project test strategy, within the guidelines + constraints of the program test strategy, • Define the project test environment requirements, and work with the Environments, • Configuration Management team to ensure that those environments are delivered, • Define the project test data strategy, and prepare common test data (working with the program test data lead), • Ensure that regression and automation tests are delivered along with (or asap after) the code release, and incorporated into future test phases including regression testing, • Participate in Quality Assurance reviews as required, • Interface with governance via the Delivery Management Meeting and Functional Management meeting, • Work with Program Management to plan and flex tester capacity and skills to meet project needs, • Work with program management to ensure the program can supply the necessary capacity and capability to staff and execute the various test cycles Mandatory Skills Description: • MXtest knowledge & experience, • MX.3 knowledge & experience, • University degree in Computer science, computer engineering, mechatronics or equivalent, • 0-3 years of experience, • Knowledge in technical environments such as SQL, XML, Unix, Windows, • Knowledge in CI tools like Jenkins, GitLab, Azure DevOps and others., • Strong understanding of version control systems such as GIT., • Experience with automation tools and scripting languages., • Knowledge in capital market is a plus., • Experience in the Software Engineering Industry, Software Quality & Testing, Test Management is a plus., • ISTQB certification or equivalent is a plus., • Communication and presentation skills, • Analytical thinking and problem-solving skills, • Teamwork and cross group collaboration, • Drive for excellence, • Eagerness to learn and develop on a broad scope (functional, product, finance, testing and technical), • Ability to work under pressure in a continuously evolving & challenging environment.

Engineering Manager | Building Technology / Property Technology I’m recruiting for a leading commercial real estate technology company looking for a hands-on Engineering Manager to lead a team building the technology behind the modern workplace and building experience. This is not an Engineering Manager role where you step away from the technology. You’ll lead and develop a strong engineering team while staying closely involved in architecture, system design, technical strategy, code reviews and complex engineering decisions. The product sits at the intersection of software and the physical world, powering how people interact with buildings — from access and operations to workplace experiences, integrations and tenant-facing technology. What you’ll be doing: • Lead, mentor and grow a team of talented software engineers, • Own delivery of high-impact, customer-facing product initiatives, • Stay deeply involved in architecture, system design and technical problem-solving, • Help shape the technical direction of a sophisticated building technology platform, • Partner closely with Product and Design on new product capabilities, • Solve complex integration challenges across software and physical building systems, • Build and promote AI-enabled development workflows that improve engineering speed, quality and productivity, • Help the team adopt modern AI tooling across coding, testing, debugging, documentation and development workflows, • Evaluate where AI can genuinely improve the engineering process — and where traditional approaches are still better What they’re looking for: • 2+ years of Engineering Management experience, • A strong software engineering background and desire to remain technically engaged, • Experience building scalable web applications and backend services, • Strong understanding of distributed systems and cloud infrastructure, • Experience leading complex technical projects from idea through production, • A track record of mentoring and developing engineers, • Strong product instincts and comfort operating in a highly collaborative environment, • Hands-on experience using modern AI development tools such as Claude Code, Codex, Cursor or similar, • A practical understanding of how to integrate AI into real software engineering workflows rather than simply experimenting with it The technology environment includes Go, React, TypeScript, PostgreSQL, Temporal and AWS. This is a great fit for an Engineering Manager who wants to lead people, influence architecture, stay close to the code and help define how modern AI changes the way software gets built. New York City | 4 days onsite $180K–$210K base + equity If you’re an Engineering Manager who still considers yourself an engineer at heart — and you’re already using AI to become a better one — please apply.