Machine learning jobs in Irving, TexasCréer des alertes d'emploi

Job ID: 708448BR Date posted: Oct. 23, 2025 Description: Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and experienced individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a broad range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers. With a strong focus on software engineering and computer science, this role is perfect for someone who is passionate about Artificial Intelligence and wants to make a real difference in the industry. What You Will Be Doing: • Developing software products that implement Artificial Intelligence to provide cutting-edge solutions to our customers, • Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test, • Participating in a range of activities, from proof of concepts and development of prototypes to building demonstrators and transitioning to production, • Leveraging current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database), • Developing code to solve complex problems and field innovative solutions, • Assuming technical lead responsibilities and mentor junior engineers What's In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, learn more about Lockheed Martin's comprehensive benefits package here. Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you! Who You Are: You are a highly motivated and experienced individual with a strong background in software engineering and computer science. You have: • A strong foundation in computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database), • Experience with software development and deployment, • Excellent self-motivation, strong work ethic, time management, and interpersonal skills, • The ability to work effectively in a team environment and assume technical lead responsibilities, • A passion for Artificial Intelligence and a desire to contribute to the development of innovative solutions that make a real impact in the industry #LMLAIC Basic Qualifications: • Bachelor's Degree in Engineering, Computer Science, or other related discipline, • Experience with an interpreted language; python, • Experience with a deep learning library; PyTorch or Torch or Keras or Tensorflow or Scikit-Learn (sklearn) or openCV, • Experience applying machine learning techniques on projects; Supervised Learning or Unsupervised Learning or Semi-Supervised Learning or Reinforcement Learning, • Master's Degree in Engineering, Computer Science, or other related discipline., • Experience with DevOps tools (Docker/Podman, Git, or GitLab CI/CD), • Experience with at least one of the following messaging protocols; Kafka or ActiveMQ or ZeroMQ or DDS, • Experience with at least one of the following communication protocols; REST or gRPC, • Experience with Test-Driven Development from both unit- and system/acceptance-level perspectives, • Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows, • Experience developing microservices and microservice architectures, • Experience building and deploying software for defense mission systems, • Experience with real-time embedded software engineering, • Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL), • Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime), • Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices), • Experience with high-performance computing, • Experience interfacing with databases (SQL, MongoDB, etc.), • Experience leading other engineers or small teams, • Familiarity with transitioning prototype software to production With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First

Job Description Job Title: Director of Risk Adjustment and Quality Department: Risk Adjustment & Quality Product Operations Reports to: VP of Product Position Summary: The Director of Risk Adjustment and Quality leads the strategy, execution, and optimization of risk adjustment and quality initiatives for our SaaS platform serving Medicare Advantage, provider organizations, and payer markets. This role ensures our platform delivers accurate risk scoring, quality measure tracking, and regulatory compliance while supporting clients’ value-based care and financial performance goals. Key Responsibilities: • Own the risk adjustment and quality product roadmap for Medicare Advantage, provider organizations, and commercial payer clients., • Lead the development of HCC coding, suspecting, recapture tracking, and gap closure modules within the platform., • Oversee analytics, reporting, and client enablement programs focused on risk adjustment accuracy and quality measure performance (HEDIS, STAR Ratings, CAHPS, etc.)., • Ensure compliance with CMS guidelines, NCQA standards, and other regulatory requirements specific to Medicare Advantage and commercial risk programs., • Partner with Product, Engineering, and Data Science teams to deliver scalable, high-performing SaaS solutions supporting MA plans, provider groups, and health plans., • Work directly with client leadership teams to translate regulatory and business requirements into actionable platform configurations and reporting strategies., • Provide subject matter expertise on CMS file formats (BCDA, CCLF, EDGE) and value-based care models including ACO REACH, MSSP, and commercial risk arrangements., • Lead internal teams including clinical coders, quality analysts, and client success staff focused on risk and quality performance improvement., • Analyze and report on key KPIs including RAF score accuracy, gap closure rates, and STAR metric performance, driving continuous improvement strategies., • Monitor industry trends, regulatory updates, and competitor activity to inform product and business strategy. Qualifications: • Bachelor’s degree in Healthcare Administration, Public Health, Data Science, or a related field; Master’s preferred., • 8+ years of experience in Medicare Advantage, risk adjustment, and quality improvement within a payer, provider, or SaaS environment., • Proven leadership experience overseeing risk adjustment and quality programs, including team management and cross-functional collaboration., • Deep understanding of Medicare Advantage program requirements, including HCC coding, STAR ratings, HEDIS measures, CAHPS, and VBP models., • Experience with payer-provider collaboration and managing risk programs across different organizational structures., • Familiarity with healthcare data formats: FHIR, HL7, BCDA, CCLF, EDGE files, and claims data., • Exceptional communication, client-facing, and presentation skills. Preferred Skills: • Certified Risk Adjustment Coder (CRC) or Certified Professional Coder (CPC)., • Experience deploying AI or machine learning solutions for risk adjustment or quality gap closure., • Strong understanding of data integration workflows supporting payers, providers, and Medicare Advantage plans. Lightbeam Internal Use Only: Position Security Classification CRITERIA: POSITION RISK LEVEL High Risk (if any of these are true) Access to Restricted information, including PHI and PII Elevated access privileges Access to the Security Infrastructure Medium Risk Access to Confidential, but not to Restricted information Low Risk Access to Unclassified information only Director of Risk Adjustment and Quality : High CRITERIA: SECURITY ROLES & RESPONIBILITIES Security Roles & Responsibilities: · Approve security-related changes · Execute security-related changes · Not applicable Policy/procedures for Lightbeam Cyber Security Incident Response (CSIRT) team Director of Risk Adjustment and Quality: Not Applicable SECURITY ROLE-SPECIFIC TRAINING Annual Incident Response Exercises

Job Description Direct hire role in DFW area. Manager at larger organizations or Senior Analyst at a larger company that has managed some people under them and has strong technical capabilities might be a good fit. A relocation package is offered to the right candidate. Reporting to the Vice President of Business Operations and Analytics, the Director of Analytics and Insights leads a team of analysts in delivering high-impact, cross-domain analytical solutions that influence strategic decisions and uncover new opportunities for business growth and operational excellence. This role serves as a trusted advisor to senior leadership and cross-functional stakeholders, guiding them in leveraging data to shape business direction, improve performance, and drive measurable results. The Director oversees analytics strategy and execution across multiple business areas, translating complex questions into actionable analytical plans, designing meaningful metrics, and ensuring insights are embedded into business decision-making. The role requires a balance of strong technical skills, strategic business acumen, influential leadership, and people management expertise. Key Responsibilities o Partner with business owners across functions to define analytics objectives, align priorities, and co-create KPIs that measure and improve performance. o Facilitate and influence cross-functional strategy discussions, ensuring analytics is embedded into both strategic planning and day-to-day operations. o Proactively identify and propose innovative analytical methodologies, data models, and measurement frameworks to support emerging needs. o Ensure analytical outputs are not only accurate and timely but also translated into clear, actionable insights that drive measurable impact. o Ensure a consistent, organization-wide approach to metrics, reporting, and insight delivery. o Represent analytics in cross-functional initiatives, ensuring alignment with broader organizational strategies. o Set team priorities, allocate resources effectively, and ensure delivery against agreed timelines and quality standards. o Mentor junior and senior analysts to expand both their technical expertise and business influence skills. Education & Experience Required • Bachelor’s degree in Business, Marketing, Finance, Computer Science, Mathematics, Statistics, Economics, or another quantitative discipline., • Minimum 5 years of experience using SQL for advanced data manipulation in large-scale data repositories., • Minimum 5 years of analytics experience working with cross-functional business partners in a complex organization., • Proven experience designing and implementing KPIs and measurement frameworks that drive performance improvement., • At least 2 years of experience managing and developing teams., • Experience with machine learning or advanced statistical modeling is a plus. Skills & Qualifications Required • Exceptional problem-solving and structured thinking skills., • Advanced quantitative and analytical expertise with a track record of translating data into business impact., • Strong business acumen with the ability to connect analytics to strategic objectives across multiple domains., • Proven ability to influence and align diverse stakeholders, including senior executives., • Excellent communication and data storytelling skills, both verbal and written, tailored to executive audiences., • Strong leadership skills with a demonstrated ability to coach and inspire high-performing teams., • Ability to balance strategic vision with hands-on execution., • Proactive learner with a continuous improvement mindset.

Job Description Job Title: Junior Data Scientist Visa: Independent Visa candidates only Hybrid Required Qualifications • Bachelor’s degree in Data Science, Computer Science, Statistics, or related field., • 2–3 years of experience in data analysis, machine learning, or similar roles., • Proficiency in Python or R, and SQL., • Basic knowledge of machine learning techniques and statistics., • Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib). Preferred Skills • Experience with Git and cloud platforms (AWS, Azure, or GCP)., • Internship or project experience in analytics or machine learning. Soft Skills • Strong problem-solving abilities and attention to detail., • Good communication and teamwork skills.Company DescriptionMagnus Technology Solutions provide quick orientation / training for professionals & placement for candidates having work authorization in USA. We work on #Selenium, #QA_Testing, #QA_Automation, #Manual_Testing #Dotnet, #java, #j2ee, #java_UI, #Angular, #React, #Python, #DevOps, #Salesforce, #Hadoop, #IOS, #Android, #RPA, #Mulesoft and any #Developer related #Technologies.Magnus Technology Solutions provide quick orientation / training for professionals & placement for candidates having work authorization in USA. We work on #Selenium, #QA_Testing, #QA_Automation, #Manual_Testing #Dotnet, #java, #j2ee, #java_UI, #Angular, #React, #Python, #DevOps, #Salesforce, #Hadoop, #IOS, #Android, #RPA, #Mulesoft and any #Developer related #Technologies.

Distinguished Machine Learning Engineer- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelors Degree * At least 7 years of experience in Software Engineering * At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 6+ year of experience deploying machine learning models * Ability to understand deploying Machine Learning models in production environments at scale * Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer 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. 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. 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 ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. 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. 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 ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ 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. 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).

Distinguished Data Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 5 years of experience in data architecture Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * 1+ year of experience deploying machine learning models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer 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. 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. 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 ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. 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. 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 ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ 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. 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).

Invitation Homes is pioneering a new industry and needs dedicated, innovative, and analytical technologists to lead our innovation and growth. As the nation’s premier home leasing company, we develop advanced technology to enhance the resident experience. We are seeking dynamic individuals who are passionate about advancing technology to the next level. At Invitation Homes, our Staff Engineers are an essential part of our engineering leadership team and serve as a force multiplier for all our product engineering pods. You will lead design and solution architecture efforts as well as participate in the development of some of our most complex and impactful work. You will help the entire engineering team improve our craft as we build quality software in an agile environment. As a Staff AI Engineer, you will apply your expertise in building real-world AI solutions to complex business problems and serve as the subject matter expert for our technology and business teams on all things AI. You will be at the forefront of developing customer-, partner-, and employee-facing applications and interfaces as we build the next wave of technologies that will elevate our resident experience to the next level. If you are motivated, passionate, a quick learner, and have outstanding communication skills, this role is waiting for you! Essential Job Duties and Responsibilities • Apply experience integrating AI solutions into real-world workflows, leveraging technologies such as AWS Bedrock, Claude, AWS Comprehend, AWS Rekognition, Salesforce Einstein, Salesforce AgentForce, and more., • Work directly with senior technology and business executives to evaluate AI opportunities across the business, working with vendors, performing POCs, building recommendations for implementation, and then working with teams to deliver the solutions., • Apply proven software engineering expertise to our most strategic work, combining hands-on development with strong software design and architecture, joining our delivery pods to guide and deliver this work., • Understand the key business and organizational strategies so that we can best align and support our engineering teams to execute on those strategies., • Work with engineering leadership to guide and execute on key engineering strategies, particularly around code quality, deployment frequency, observability, and mean time to recovery., • Coordinate and collaborate with technology teams and business stakeholders on priorities, scope, requirements, and change management., • Foster communication and collaboration across development teams, facilitating knowledge sharing. Broaden the perspective of engineers beyond their own area of expertise to help them grow and make better decisions., • Identify gaps in processes and engineering practices and build capabilities to grow and improve., • Participate in our Technology Architecture Guild, which has representatives from all areas of Technology and is responsible for aligning our architecture and technology choices to our business needs., • Evaluate and select technologies to meet business needs, including researching, recommending, and managing technology vendors where appropriate., • Partner with the security team to set and refine organization-wide security strategy. Foster a security-first mindset across the organization. Be vigilant for obscure security threats that may go unnoticed by others., • Work across teams to foster a culture of architecture that enables iterative, autonomous development and future scalability. Guide individual teams to help them make design decisions that minimize the cost of future changes. Education and/or Experience • Bachelor’s Degree or related experience, • 10+ years of experience in software development and architecture, • 5+ years of experience serving in senior leadership positions in engineering organizations Skills/Specialized Knowledge • Strong technologist with knowledge of various architectural styles, • Production-level implementations of AI-related technologies, such as RAG, MCP, LLMs, Machine Learning models, etc., • Prompt engineering experience to get the most out of integrations with LLMs., • Experience building re-usable toolkits and reference implementations that can be leveraged across the engineering organization., • Expert level understanding of several modern technologies/languages such as: RESTful APIs, asynchronous messaging, observability, infrastructure as code, JavaScript, Node.js, SQL, • Polyglot programmer with deep roots in building distributed systems, • Proficient in building internally and externally facing APIs, and experience supporting them in large scale, mission-critical deployments, • Experience with DevOps practices and mindset, • Comfortable fostering conversation and building consensus, while making the tough decisions when needed; you know how to participate in the technical details while still empowering your team to make decisions, • Excellent verbal and written communication skills. Able to collaborate and negotiate with peers inside and outside of Engineering, • Teacher and mentor: leadership skills, empathy, and the patience to improve the developers around you Other Requirements • Must maintain professional appearance, • Ability to be at work on a regular and consistent basis Physical and Mental Demands This position will spend long hours sitting and using office equipment and computers. The position may also entail light lifting of supplies and materials occasionally, up to and including 20 pounds in addition to reaching, stooping, standing, and walking. This position requires the ability to talk, hear, compare, compute, compile, copy, analyze, coordinate, synthesize, negotiate and communicate. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. Work Environment Standard office working environment that may be busy and noisy at times. Why Invitation Homes We stand for flexibility, opportunity, and a home that people can make their own. It’s as true for our associates as it is for our residents. Just like we help our residents live freer, we liberate our associates’ careers, too. Our associates know that at Invitation Homes goals matter, potential is unlocked, and careers thrive. Invitation Homes isn’t just a work place it is a possibility place. Invitation Homes offers the below to each new associate: * Competitive pay and an annual bonus program for all associates * Generous paid time off plans including vacation accrual, sick time, volunteer time, and standard and floating holidays * 401k with matching company contributions * Awesome work environment with casual dress * Team events and gatherings * Employee resource groups: Together with Women, Asian Alliance, Black Collective, Juntos, Gen Next, and Open Invitation. Invitation Homes truly is where possibility lives, pour a new foundation here! The salary range for this position is: $118,800.00 - $205,920.00, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location, and applicable employment laws. To attract and retain top talent, we're pleased to offer competitive compensation and benefits, including: * Annual bonus program * Health, dental, vision, and life insurance * Long-term and short-term disability insurance * Generous paid time off plans include vacation accrual, sick time, standard holidays and floating holidays * 401(k) with company matching contributions * Awesome work environment with casual dress * Team events and gatherings (Pre- and Post-Covid) Invitation Homes is an equal opportunity employer committed to fostering a diverse, inclusive and innovative environment with the best associates. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status or any other factor protected by applicable federal, state or local law. If you have a disability or special need that requires accommodation, please contact us at ___. To all recruitment agencies: Invitation Homes does not accept agency resumes. Please do not forward resumes to Invitation Homes employees. Invitation Homes is not responsible for any fees related to unsolicited resumes. #LI-JA1

Michaels Software Engineers will develop technologies that change how our customers connect, explore, and interact with information and one another. As a Sr Software Engineer, you will contribute to projects critical to Michaels needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. Major Activities • Collaborate with finance business stakeholders to define process changes and develop enhancements for Oracle Financial Cloud modules., • Act as a Subject Matter Expert (SME) on Oracle Financials, partnering with technology teams to lead key initiatives., • Utilize Oracle Integration Cloud (OIC) components, such as Integrations, Adapters, Visual Builder, and more, to streamline business processes., • Enhance applications by identifying opportunities for improvement, make recommendations and design and implement systems., • Manage individual project priorities, deadlines and deliverables., • Mentor and advise teammates on Oracle applications., • Communicate complex technical information effectively to both technical and non-technical audiences., • Experience on EPM cloud and retail applications a plus Other duties as assigned Minimum Education • Bachelors Degree in Computer Science or equivalent experience Minimum Special Certifications or Technical Skills • Worked with large scale web traffic and data with strong foundation in Data Structures, Algorithms, Linear Algebra., • Advanced experience in Java, Python, C, C++, MongoDB, MySQL, and/or other major programming languages, • Experience in building search systems such as Elastic, SORL, Lucene, Algolia, • Building large-scale data pipelines, • Expertise with cloud services, such as AWS, Google Cloud, Microsoft Azure, • Experience in machine learning/computer vision/natural language processing application Minimum Type of Experience the Job Requires • 5+ years of software engineering experience Other • Excellent communication and collaboration skills Preferred Education and Skills • Masters Degree or higher in Computer Science, • 5+ years of Oracle Financial Cloud (or Oracle R12) experience with at least one end-to-end implementation., • 2-3 years of hands-on experience with FBDI, OTBI, REST and SOAP, and integration tools and technologies such as Oracle Integration Cloud (OIC), TIBCO or any leading integration platform., • Strong written and verbal communication, presentation, and technical writing skills, coupled with a strong interest in further developing and integrating enterprise business processes with technology skills., • Professional Certification such as Oracle Integration Cloud or similar is strongly preferred.

Job Description Dishwasher - Part-Time Hourly rate: $16.00 per hour Schedule: The location is open 7 days a week. You need to have open availability as your schedule might rotate. Please indicate your schedule availability, and we will do our best to accommodate. Your Impact As a Dishwasher with Thomas Cuisine, you are the unseen hero ensuring a smooth and sanitary culinary operation. Your dedication to cleanliness and efficiency directly impacts the hygiene and safety of our patients. By maintaining a well-organized and sanitized dishwashing area, you play a crucial role in upholding our commitment to providing exceptional dining experiences in a senior living setting. What you will do • Monitor and empty the box bin as needed., • Set up and clear the pot washing area using the 3-compartment sink, ensuring compliance with sanitation regulations., • Adhere to all safety and sanitation requirements to maintain a clean and hygienic kitchen environment., • Regularly check the tray belt and clear it if necessary., • Check and fill the dishwasher, ensuring it operates efficiently., • Record wash/rinse temperatures as per established guidelines., • Wash any items that are soiled and dirty, following proper cleaning procedures., • Ensure all washable equipment air dries on racks, free of water., • Follow the procedure of not touching dirty equipment after washing your hands when handling clean equipment., • Sort and stack clean equipment systematically., • Carry/cart clean equipment to designated storage areas., • Wash front-of-house garbage can lids through the dishwasher., • Sanitize stainless steel surfaces, tray line, and tray belt regularly., • Wash floor mats and re-rack them on the mat holder., • Run the dish machine filters through the machine for optimal performance., • Shut down the machine, drain, and clean the dishwasher jets and screens., • Rinse the machine inside and out using a hose with a hot water connection., • Place trash and cardboard in the dumpster., • Assist kitchen staff as needed in various tasks and functions to ensure smooth kitchen operations., • Strong teamwork skills., • The ability to work holiday and weekend shift schedules., • ServSafe® Certification and State Food Handlers Card. Successful candidates must meet eligibility criteria, including the ability to undergo and successfully complete a criminal background check and drug screen in accordance with applicable State laws and regulations. * Ability to provide documents for work authorization. We utilize E-Verify, an online system that allows us to confirm the eligibility of our employees to work in the United States. * High School Diploma/GED. Benefits include: • Employee Referral Bonus, • End of year profit sharing program, • Access to wellness initiatives, financial planning, behavioral health assistance, pet assurance discounts, and more Physical and Sensory Requirements Requires mobility to stand and walk extensively during shift. Lifting, carrying trays and boxes, pans and dishes up to 25lbs. Push/Pull Food Hot Boxes up to 50lbs. Bend, stoop for access to carts, food, trays, and other kitchen equipment. Manual dexterity for kitchen utensils, dish machine and tools. Visuals for reading menus, labels, and directions. Hearing to respond to verbal communications. Exposure to hot and cold temperatures. Ensuring that Dishwashers (Utility Aides) meet these physical and sensory requirements is crucial to their ability to contribute effectively to the well-being of a well-run, safe and functioning kitchen. Who We Are Founded in 1986, Thomas Cuisine is an award-winning, privately held contract food service company. We advocate the healing power of whole foods and believe in preparing scratch-made cuisine fresh each day. Every Thomas Cuisine team member is an ambassador, carrying out our mission, reflecting our values, and building relationships while "doing the right thing". What’s in it for you Join our team! You will be a valued and integral part of our team from day one. You will have supportive and diverse colleagues and compassionate management. Opportunities for learning and development, cross-training, and career growth. Competitive pay and annual evaluations for pay increases. Interaction with our senior population allows for the development of communication and interpersonal skills and you can gain a deep sense of fulfillment from making a positive difference in the lives of others. Our commitment to you At Thomas Cuisine, we are dedicated to fostering a workplace that is diverse, equitable, inclusive, and where every individual feels a sense of belonging. We know that this commitment is an ongoing journey, and we will strive to improve and adapt as we grow. Our DEIB commitment is not just a statement but a living part of our company culture. REAL Food | Genuine Service | Enduring Relationships

Basic Qualifications: • 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc., • 2+ years of experience with SQL, PySpark and Python., • 2+ years of experience training, evaluating and deploying Machine Learning models., • 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure., • Familiarity with containerized application tooling and deployments (Docker/Kubernetes), • Experience with Databricks platform., • Experience building ML models with large amounts of structured and unstructured data

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.This is a general / expression of interest, therefore by submitting your CV, you will be considered for upcoming roles with our clients. Locations: Most of our client base is concentrated in California, New York and a few scattered across other States and Europe. Who Can Apply: We are looking for professionals with demonstrated experience in AI, ML, and Data Science roles within reputed tech companies and/or from top 100 universities in the world. Visa sponsorship is available for existing H1b transfers. Student visas will only be considered on the academic pedigree - top 50 global universities. Experience: From early-career engineers to senior ICs, leads and principals. General Requirements by Role: * Proven experience building or deploying machine learning systems in production environments (not just academic or lab prototypes). * Background in a top technology company, Tier 1 VC backed startup, advanced research institute, or high-caliber engineering team. * Solid understanding of ML fundamentals, including model development, optimization, and evaluation. • Hands-on experience with at least one major area of specialization: LLMs & Generative AI * Computer Vision * NLP / NLU * Reinforcement Learning * Recommendation Systems * Time Series & Forecasting * Applied Deep Learning • Familiarity with modern ML engineering workflows: MLOps pipelines * Model monitoring & observability * Deployment to cloud or edge environments * Vector databases & embeddings * Retrieval-augmented pipelines * Experience with distributed systems, data infrastructure, or high-performance computing is a strong advantage. * Professionals with experience in AI Safety, alignment, privacy-preserving ML, or security-focused ML are also welcome. * Strong coding proficiency (Python preferred) and familiarity with relevant frameworks such as PyTorch, TensorFlow, JAX, LangChain, Ray, etc. * Experience mentoring engineers, leading technical initiatives, or driving cross-functional collaboration is valued. * Candidates with a track record of publications, open-source contributions, patents, or shipped products demonstrating real-world impact will stand out. Why Work With Us? * Take advantage of the strong relationships we have built with Founders and CTOs. * Work with recruiters who understand the difference between a fine-tuned model and a foundation model and wont ask if you know Python. * We prioritize your confidentiality and privacy throughout the recruitment process. * No Spamming * Support refining your resume or portfolio specifically for the roles we shortlist you for. * Direct communication channels. Bypass gatekeepers and speak directly with the actual hiring manager and decision-makers. * Insight on compensation structures across geographies, including equity-heavy offers, research-focused roles, or hybrid IC/lead tracks.

Job DescriptionDescriptionThe Azure AI Applications Practice Lead is a critical driver of Lantern's mission to empower clients to leverage AI and custom applications for transformative business outcomes. This role leads our Azure AI Applications practice, focusing on building and scaling a high-performance team with expertise in cutting-edge AI and app development technologies. The Practice Lead is ultimately responsible for driving and supporting growth in our business relative to revenue, technical delivery, customer management and people leadership. That requires that this person will closely collaborate with the Go-to-Market and Commercial teams, having business driven, technology supporting, and solution focused conversations in the marketplace. This role requires close collaboration with our Go-to-Market teams to develop relevant offerings, as well as with Delivery and Operations to ensure the successful and efficient execution of projects. Other core responsibilities include understanding and shaping the market landscape, driving talent acquisition and retention, and ensuring optimal workforce utilization to exceed client expectations and drive profitability. Key ResponsibilitiesGo-to-Market & Sales Support ·Contribute to Lantern GTM Offering development, prioritization, and activation. ·Develop Practice Sales Plays and partner with Business Development Teams to take those to market in areas not covered by Lantern GTM Offerings.Demand Generation·Champion Lantern GTM Campaigns and support related demand generation activities (e.g. briefings, events, sales enablement, etc.)·Partner with Business Development teams in driving pipeline by presenting Lantern GTM Offerings & Studio Sales Plays to Clients and Microsoft. Sales Support·Provide input during New Business Meetings to help qualify and ensure new opportunities have practice support.·Contribute to strategic account planning with the Business Development team, based on deep client environment knowledge.·Proactively support sales pursuits and coordinate people requirements as required to win business.·Develop project estimates and resource plans in support of delivering proposal and presentations to clients.· Partner in the Sales Process for solution shaping and deal success.Delivery Leadership·Work closely with Delivery & Operations teams to ensure seamless transitions from Sales to Delivery and mobilize resources effectively.·Oversee delivery quality, addressing escalations and offering guidance throughout project lifecycles.·Optimize staffing, resource planning, and utilization management to maximize and balance efficiency, profitability and client satisfaction.People Leadership·Set the vision and strategy for the Generative AI, ML, and Custom App Dev practice, inspiring consultants to deliver high-impact results.· Facilitate consultants' continuous professional development in priority areas such as AI model development, deployment, and custom application engineering.·Develop and roll out training plannings to meet our current and upcoming delivery needs·Partner with recruiting and People & Culture teams to attract and retain top talent in alignment with the practice’s growth objectives.Technology Leadership· Act as the primary technical leader for clients, consultants, and sales pursuits within the practice.·Provide expert technical oversight and mentorship to consultants in AI-enabled applications, Generative AI, custom agents, UI/UX and custom application development.·Establish thought leadership through posts, webinars, workshops, presentations, and conference speaking engagements.·Develop strong relationships with Microsoft and other partners to support clients in adopting cloud, AI, and application technologies.·Exhibit a strong knowledge of the Microsoft Data Ecosystem (Fabric, PowerBI, Event Hubs), Databricks and Machine Learning Position Requirements• Experienced consulting leader with a deep understanding of the Microsoft ecosystem • Experienced in supporting sales and driving new business with existing clients, and the ability to drive growth through Go-to-Market offerings., • Experienced in practice development, team leadership, sales enablement, and high-level client engagements, ensuring the practice meets both technical excellence and business objectives., • 10+ Years in a consulting leadership role is required with experience leading custom application and UI/UX development, building data platforms, data lakes and machine learning solutions. • Individual Utilization, • Practice Utilization, • Practice Growth YoY, • Practice Billable Hours, • Practice Headcount Growth Supplemental Practice Health Indicators, • Budget vs. Actuals (Hours), • Practice Pipeline Forecast, • Practice Revenue Growth, • Practice Member Learning Index (Prof. Dev. Goals & Certs), • Client NPS, • Practice Member NPS, • Practice Retention Rate

Job DescriptionLightEdge is seeking an experienced and collaborative ServiceNow Developer to join a small, high-impact team responsible for enhancing and evolving our enterprise ServiceNow platform. In this role, you will work directly with the Platform Owner to design creative solutions, improve user experience, and drive meaningful improvements in how our internal customers do their best work. You won’t be a number or a cog in a machine — you’ll be a trusted, valued member of the team whose voice genuinely influences platform direction, architecture, and long-term strategy.What you'll do • Design, configure, and enhance ServiceNow applications and workflows using platform best practices., • Collaborate with stakeholders to understand business challenges and co-create practical, high-impact solutions., • Build and extend core capabilities in IT Service Management (ITSM) and Customer Service Management (CSM) — the primary focus areas for this role., • Contribute to LightEdge’s roadmap for Order Management and Strategic Portfolio Management (SPM)., • Strong CSM experience provides an excellent foundation for upskilling into Order Management., • Drive ServiceNow platform upgrades, ensuring technical readiness while helping the organization take advantage of new features and performance improvements., • Support platform optimization efforts, focusing on better adoption, automation, and business value, not just enabling new modules., • Collaborate on integrations using standard ServiceNow patterns (REST, SOAP, scripted APIs), while partnering with internal teams who manage complex integrations through Boomi and IntegrationHub., • Develop and maintain clear technical documentation, including solution designs and test plans., • Troubleshoot and resolve issues across applications, workflows, and supporting components., • Stay current on ServiceNow releases and explore emerging capabilities like AIOps, Predictive Intelligence, and automation frameworks.What you bring, • 3+ years of ServiceNow development experience (or equivalent hands-on platform expertise)., • ServiceNow Certified System Administrator (CSA)., • Proficiency with ServiceNow configuration and application development across ITSM and CSM., • Practical experience using ServiceNow-specific scripting (GlideRecord, Business Rules, Client Scripts, Script Includes) to extend functionality only when configuration is not sufficient., • This is not a generic software engineering role — success requires understanding ServiceNow’s platform model, data structures, and configuration capabilities., • Familiarity with common ServiceNow integration patterns (REST, SOAP, scripted APIs)., • Deep integration development experience is not required; LightEdge leverages Boomi and internal IntegrationHub expertise for complex integrations., • Strong communication and collaboration skills, with the ability to translate technical concepts into business-friendly language., • A problem-solving mindset with curiosity, creativity, and solid analytical skills.Preferred, • Familiarity with Order Management, with strong CSM experience considered a solid foundation for learning OM., • Exposure to Strategic Portfolio Management (SPM) or similar workflow/portfolio frameworks., • Understanding of ITOM, Discovery, or AIOps principles., • ServiceNow Certified Application Developer (CAD), or willingness to pursue certification., • ITIL foundational knowledge. Why This Role Is Different, • Small Team, Big Voice: You help shape platform direction, roadmap decisions, and architectural patterns., • Close Collaboration: Work side-by-side with the Platform Owner and a supportive engineering team invested in platform success., • Impact Over Installation: Our focus is on improving adoption, efficiency, and the business value of ServiceNow, not just enabling new modules., • Culture That Values You: At LightEdge, you're treated as a respected member of the family, not just a number or a cog in a machine.

Our client is looking for a LEAD AI Engineer for their growing team. This is a full time role and not open to contract or C2C candidates. About the Role Are you ready to shape the future of enterprise intelligence through pioneering AI and machine learning solutions? We are seeking an Lead AI/ML Lead Engineer to lead the design and implementation of scalable, intelligent systems that solve complex business challenges. This role is central to transforming large-scale data into actionable insights through advanced machine learning, generative AI, and conversational technologies. As a technical leader, you will drive innovation across analytics, model engineering, and AI platforms, while collaborating closely with cross-functional teams to align solutions with strategic objectives. What You’ll Do • Business Analytics & Intelligence: Analyze large and complex datasets to uncover trends, patterns, and insights using statistical and machine learning techniques., • Model Engineering: Design, train, deploy, and optimize machine learning models, classifiers, and algorithms for predictive analytics, anomaly detection, and optimization., • Generative & Agentic AI: Build and operationalize generative AI and agentic frameworks leveraging RAG pipelines, vector databases, and prompt orchestration techniques., • Conversational AI Development: Architect and fine-tune intelligent virtual assistants and multi-turn dialogue systems using large language models (LLMs), transformer architectures, and knowledge graphs., • Knowledge Graph Integration: Design and integrate semantic models and graph databases to enhance contextual understanding, reasoning, and information retrieval in AI systems., • Enterprise Fine-Tuning: Apply domain-specific LLM fine-tuning techniques (e.g., DPO, ORPO, SPIN) to align models with enterprise knowledge, policies, and workflows., • AI Infrastructure & MLOps: Develop and maintain robust, scalable ML pipelines using modern AI/ML Ops tools and best practices., • Risk Mitigation & AI Safety: Identify and address risks such as bias, model drift, and adversarial vulnerabilities; implement monitoring, governance, and safeguard strategies., • Cross-Functional Collaboration: Partner with data scientists, engineers, and business stakeholders to ensure AI solutions align with organizational goals., • Stakeholder Engagement: Deliver compelling demonstrations and recommendations, translating complex technical insights into clear, strategic guidance for business audiences., • Research & Innovation: Stay ahead of emerging trends in generative AI, AI safety, interpretability, and responsible AI practices. What You’ll Need • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field., • 5+ years of experience in AI/ML engineering, with strong proficiency in Python., • Hands-on experience with machine learning libraries, predictive modeling, pattern recognition, and advanced analytics., • Proven experience working with LLMs, NLP, and generative AI frameworks., • Solid understanding of neural network architectures, including CNNs, RNNs, transformers, and attention mechanisms., • Expertise in knowledge graph design and integration with conversational and retrieval-based AI systems., • Familiarity with MLOps practices, model lifecycle management, and secure data governance., • Experience with cloud platforms (Azure, AWS, GCP), containerization technologies (Docker, Kubernetes), and CI/CD pipelines., • Strong communication and leadership skills, with the ability to lead cross-functional initiatives and present effectively to senior and executive audiences.

Overview We are seeking a highly skilled Data Modeler / BI Developer to join our team. This role will focus on designing and implementing enterprise-level data models, ensuring data security, and enabling advanced analytics capabilities within our Primoris BI platforms. The ideal candidate will have strong technical expertise, excellent problem-solving skills, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities • Collaborate with the Data Ingestion team to design and develop the “Gold” layer within a Medallion Architecture., • Design and implement data security and masking standards, processes, and solutions across various data stores and reporting layers., • Build and execute enterprise-level data models using multiple data sources for business analytics and reporting in Power BI., • Partner with business leaders to identify and prioritize data analysis and platform enhancement needs., • Work with analytics teams and business leaders to determine requirements for composite data models., • Communicate data model structures to visualization and analytics teams., • Develop and optimize complex DAX expressions and SQL queries for data manipulation., • Troubleshoot and resolve issues, identifying root causes to prevent recurrence., • Escalate critical issues when appropriate and ensure timely resolution., • Contribute to the evolution of Machine Learning (ML) and AI model development processes. Qualifications • Bachelor’s degree in Business Administration, Information Technology, or a related field., • 2+ years experience ensuring data quality (completeness, validity, consistency, timeliness, accuracy)., • 2+ years experience organizing and preparing data models for analysis using systematic approaches., • Demonstrated experience with AI-enabled platforms for data modernization., • Experience delivering work using Agile/Scrum practices and software release cycles., • Proficient in Azure, Databricks, SQL, Python, Power BI, and DAX., • Good knowledge of CI/CD and deployment processes., • 3+ years experience working with clients and delivering under tight deadlines., • Prior experience with projects of similar size and scope., • Ability to work independently and collaboratively in a team environment. Skills & Competencies • Exceptional organizational and time management skills., • Ability to manage stakeholder expectations and influence decisions., • High attention to detail and commitment to quality., • Strong leadership and team-building capabilities., • Ability to adapt to changing priorities and work under pressure.

Job Description Note: Only on W2 Must be local to either Cary, NC or Irving, TX Client: Caterpillar Education: • Bachelors or Masters are required Qualifications: • 5+ years of experience are required Top Skills: • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow), • Strong foundation in statistics, probability, and machine learning, • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling, • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Duties: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making., • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation., • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability, • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets, • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making, • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings, • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment, • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals, • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges

Job DescriptionAllata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships. Join us as a Director of Data & Insights to be a pivotal member of our executive leadership team, driving large-scale digital transformation initiatives with a commitment to quality and client satisfaction. In this role, you will design and implement innovative data solutions to empower our clients’ businesses, aligning data strategies with their objectives. Your strategic vision will steer the development of our people and service lines, fostering a collaborative culture that prioritizes team well-being. Responsibilities: • Collaborate with customers to understand their goals and create comprehensive data strategies that enable business growth, ensuring timely delivery, cost efficiency, and optimal resource utilization, leveraging an agile mindset and framework., • Lead the design and implementation of cutting-edge data solutions, focusing on modern architectures, analytics, and machine learning to unlock value for clients., • Support pre-sales and sales teams as a subject matter expert, contributing data-driven insights and strategies that enhance proposals and foster customer confidence., • Foster and develop client relationships while identifying and cultivating new business opportunities, supporting the Client Partner through the sales process to drive growth., • Coordinate with team resources to monitor progress, develop transparent reporting mechanisms, and proactively manage and mitigate risks or issues as they arise., • Inspire, drive, and support the continuous development of team members by providing guidance, mentoring, and opportunities for professional growth, ensuring they reach their full potential and contribute effectively to organizational goals., • Actively engage in shaping and implementing location strategy to align seamlessly with the broader goals and objectives of the organization., • Contribute to the development and implementation of resource strategies, optimizing allocation and utilization to support business growth and operational efficiency., • Champion and cultivate a positive organizational culture, promoting values of collaboration, innovation, and inclusivity, and fostering an environment where team members feel valued and motivated. Hard Skills:, • Proven experience leading client delivery teams, building successful client relationships, growing new client opportunities, and delivering on promises., • Demonstrated ability to manage and enhance quality and margin within client accounts., • Strong skills in breaking down complex business problems and guiding teams to resolve them effectively., • Expertise in agile delivery models and methodologies., • Deep familiarity with Modern Data Platforms (Databricks, Snowflake), • Strategic-level mastery in one or more of the following technologies (certifications with industry-leading players are a plus): 1) Modern data architectures, large-scale data processing, and analytics, with hands-on experience in Databricks, Snowflake, MS Fabric, and related tools. 2) Machine learning and artificial intelligence, including Generative AI and related applications3) Modern software development patterns and tools, including containers, serverless, and integration frameworks like Boomi or Mulesoft. 4) DevOps and infrastructure as code. 5) Digital Product Management lifecycle., • Experience working in the healthcare industry, with a strong understanding of its data challenges, regulatory requirements, and opportunities. Soft Skills:, • Ability to effectively communicate and collaborate with internal and external teams., • Proven track record operating in global and virtual environments, working remotely with colleagues across different geographies and cultures., • Ability to influence clients and teams to the preferred outcome., • Self-starter skilled in developing structure in ambiguous environments., • Strategic thinking and problem-solving skills.

Job Description Company Details Darling Ingredients repurposes and recycles materials from the animal agriculture and food industries - transforming them into essential ingredients that do everything from feeding animals to fertilizing crops to fueling planes and nourishing people. We're the number one publicly traded company of our kind, operating a global family of brands and businesses that span more than 260 facilities in over 15 countries. Our unique scale allows us to make entire industries less wasteful and more sustainable, helping move the world toward a more circular economy. Darling Ingredients offers full time employees a full suite of benefits including but not limited to the following: 401(k), Health, Dental and Vision Insurance, and Paid Time Off. Job Summary Darling Ingredients seeks a Cyber Security Engineer - Threat Hunter with an analytical mind and meticulous attention to detail, outstanding problem-solving skills, work comfortably under pressure and deliver on tight deadlines. As a threat hunter you will be responsible proactively identifying, investigating, and mitigating advanced cyber threats across the organization's digital environment. This role combines traditional threat hunting methodologies with advanced AI-driven detection, analytics, and automation tools to uncover stealthy adversaries, anomalous behaviors, and potential vulnerabilities before they can be exploited. The ideal candidate can demonstrate technical knowledge, strong analytical thinking, and the ability to leverage machine learning (ML) and artificial intelligence (AI/LLMs). Essential Duties/Responsibilities: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. • A strong desire to deepen their knowledge of ML & AI to achieve the following responsibilities:, • Conduct proactive threat hunts across enterprise systems, networks, cloud workloads, and endpoints using both manual techniques and AI-enhanced detection models., • Develop, train, tune, and deploy machine learning and generative AI models that identify anomalies, classify threats, and enhance detection fidelity., • Utilize AI-based tooling (LLMs, automated analysis agents, supervised ML models) to accelerate malware analysis, log enrichment, correlation, and triage., • Build hypotheses based on threat intelligence, attacker TTPs, environmental telemetry, and known adversary behavior patterns., • Analyze large-scale datasets (network flows, endpoint telemetry, authentication logs, EDR/XDR data, cloud logs) to uncover indicators of compromise and previously undetected intrusion activity., • Create advanced detection logic, behavioral analytics, and automated playbooks using AI-powered security platforms (SIEM, SOAR, XDR, and custom tooling)., • Perform root-cause analysis of identified threats and provide actionable remediation guidance to SOC, IR, and engineering teams., • Collaborate with red teams, threat intelligence analysts, and security engineering to continuously improve organizational detection maturity., • Maintain up-to-date knowledge of emerging threats, AI-based attack methods, and adversarial machine learning techniques., • Document findings, produce executive-ready reports, and brief stakeholders on hunting outcomes and recommended control improvements., • Regularly communicate with the business at all levels (local user to executive level) about relevant risks. Minimum Qualifications: • High School Diploma Required, • Ability to demonstrate a general understanding of machine learning & artificial intelligence, • Languages: Portuguese - Strong & English - Strong, • Ability to work under pressure in a fast-paced environment, • Strong attention to detail with an analytical mind and outstanding problem-solving skills, • Self-motivated and communicates well with both technical and non-technical audiences, • Passion for cybersecurity and strong interpersonal and collaborative skills, with the ability to work in a team environment Preferred Qualifications: • Proven experience using AI-driven security tools, LLMs, or ML-based analytics in a security context., • Awareness of cybersecurity trends and hacking techniques, • Familiarity with generative AI, agentic AI, and LLM-based automation for cyber defense., • Advanced training on anomaly detection; tool-specific training for data aggregation, analysis, and adversary detection The information contained in this job description is intended to describe the essential job functions required of those assigned to this job. It is not intended to be an exhaustive list of all responsibilities, duties, knowledge, skills, and abilities needed to perform the job. Please note that management retains the right to assign or reassign duties and responsibilities to this job at any time. The ability to competently perform all the essential duties of the position, with or without reasonable accommodation, demonstrated commitment to effective customer service delivery, integrity, and the ability to work productively as a member of a team or work group are basic requirements of all positions at Darling Ingredients. Darling Ingredients is an equal opportunity employer and gives consideration to qualified applicants without regard to race, age, color, religion, sex, national origin, sexual orientation, gender identity, disability, or, protected veteran status. Know Your Rights: If you would like more information, please click on the link and paste into your browser: Working Conditions and Physical Demands Cyber Security Engineer, Threat Hunter The physical demands and work environment factors described below are representative of those that must be met by an employee to successfully perform the main duties of this job. Working Environment None Occasionally = up to 20% Frequently = 21% to 50% Constantly = at least 51% Exposed to unpleasant or disagreeable physical environments such as high noise level, strong odors, and/or exposure to heat and cold ☒ ☐ ☐ ☐ Exposed to bio hazardous conditions ☒ ☐ ☐ ☐ Exposed to toxic or caustic chemicals which mandate attention to safety considerations ☒ ☐ ☐ ☐ Exposed to Electrical hazards; risk of electrical shock ☒ ☐ ☐ ☐ Handles or works with potentially dangerous equipment ☒ ☐ ☐ ☐ Travels to offsite locations ☒ ☐ ☐ ☐ Other (please describe): ☒ ☐ ☐ ☐ Physical Demands None Occasionally = up to 20% Frequently = 21% to 50% Constantly = at least 51% Sit: Must be able to remain in a stationary position. ☐ ☐ ☒ ☐ Walk: Must be able to move about inside/outside office or work location. ☐ ☐ ☒ ☐ Use hands to finger, handle or feel: Operates a computer and other office machinery. ☐ ☐ ☒ ☐ Stoop, kneel, crouch, or crawl: Must be able to position one's self to maintain computers in the lab, including under desks and in the server closet. ☐ ☐ ☒ ☐ Climb or balance: Must be able to ascend/descend on a ladder. ☐ ☐ ☒ ☐ Talk, hear, taste, smell: Must be able to use senses to; effectively communicate with co-workers and clients and detect hazardous conditions. ☐ ☐ ☒ ☐ Weight and Force Demands None Occasionally = up to 20% Frequently = 21% to 50% Constantly = at least 51% Up to 10 pounds ☐ ☐ ☐ ☐ Up to 25 pounds ☐ ☐ ☐ ☐ Up to 50 pounds ☐ ☒ ☐ ☐ Up to 100 pounds ☐ ☐ ☐ ☐ More than 100 pounds ☐ ☐ ☐ ☐ Vision Demands Required No special vision requirements ☒ Close vision (clear vision at 20 inches or less) ☐ Distance vision (Clear vision at 20 feet or more) ☐ Color vision (ability to identify and distinguish colors) ☐ Peripheral vision ☐ Depth perception ☐ Ability to adjust focus ☐ Job Posted by ApplicantPro

Required skills and qualifications 8+ years' experience designing and delivering production-grade full-stack python applications. • 5+ years' experience programming in Python., • 3+ years' experience with Kafka or similar event-streaming platforms., • 3+ years' experience with containerized development using Docker and deploying through CI/CD pipelines (GCP DevOps/GitHub)., • Own the full lifecycle of the application - from architecture and implementation to CI/CD and monitoring., • In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch., • Familiarity with database technologies such as SQL and NoSQL., • Excellent problem-solving ability with solid communication and collaboration skills., • Strong unit test and debugging skills, • Understanding of the threading limitations of Python, and multi-process architecture, • Experience with CI/CD tools like Github, Gitactions, Jenkins, octopus or similar, • 3+ years of experience working on Azure or GCP Cloud Applications/services (GCP preferred), • Experience with popular Python frameworks such as Django, Flask or Pyramid., • Knowledge of data science and machine learning concepts and tools., • A working understanding of cloud platforms Google Cloud Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ___. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is pioneering the development of AI-powered autonomous aircraft for national defense, pushing the boundaries of aerospace innovation. Our next-generation UAS is a high-endurance unmanned system designed to operate in complex, contested environments where reliability, robustness, and speed to field matter. We are seeking a Senior Staff Mechanical Test Engineer to lead and own the strategy, architecture, and execution of mechanical test systems supporting flight hardware for our next-generation UAS. This role is critical to ensuring hardware is qualified, validated, and sustained through aggressive development timelines and real-world operational conditions. In this role, you will act as a technical authority for mechanical test and ground support systems, driving requirements, trade studies, and design decisions while mentoring engineers and partnering closely with flight, manufacturing, and operations teams.What you'll do: • Own the end-to-end mechanical test strategy for flight hardware, including requirements definition, architecture, design, build, and lifecycle sustainment of test systems., • Lead the design and development of fixed and field-deployable test stands, fixtures, and ground support equipment interfacing with aircraft structures, propulsion systems, motors, avionics, and subsystems., • Drive structural, thermal, and fatigue analysis to validate designs for harsh military environments, transportability, and repeated use., • Serve as the technical decision-maker for mechanical test systems, balancing performance, cost, schedule, manufacturability, and maintainability., • Review and approve detailed CAD models, drawings, and specifications; set standards for design quality, documentation, and configuration control., • Lead and participate in cross-functional design reviews (PDR/CDR/TRR), advocating for testability, simplicity, and rapid learning., • Partner with suppliers and manufacturing teams to ensure scalable, cost-effective production and long-term sustainment of test hardware., • Mentor and guide junior and mid-level engineers, setting technical direction and raising the overall quality bar of the team., • Support flight test and field operations, including rapid troubleshooting, test system modification, and on-site integration when required.Required qualifications:, • B.S. in Mechanical Engineering or related STEM field., • 7–10+ years of experience designing mechanical systems for aerospace, ground support equipment, test infrastructure, or heavy industrial systems., • Deep mastery of mechanical fundamentals, including structural mechanics, materials, dynamics, and thermal behavior., • Expert-level proficiency in CAD tools (NX, CATIA, SolidWorks, or equivalent), including complex assemblies and released drawings., • Strong experience with structural analysis, material selection, and manufacturing processes for ruggedized, high-reliability systems., • Hands-on experience designing test stands, fixtures, or support equipment for aerospace or similarly demanding applications., • Proficiency with FEA, thermal analysis, and fatigue/lifecycle testing., • Proven ability to operate in a fast-paced, ambiguous environment, owning problems from concept through execution., • Demonstrated history of high ownership, strong judgment, and collaborative leadership.Preferred qualifications:, • Experience supporting UAS, aircraft, propulsion, or large aerospace-grade structures., • Experience designing field-deployable or expeditionary test systems., • Ability to rapidly prototype and manufacture designs in a machine shop or lab environment., • Experience owning large-scale test or facilities projects from concept through deployment., • Knowledge of hydraulics, NDE/NDT methods, and aerospace structural validation practices. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are PMG Named Ad Age Best Places to Work for 10 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You'll Be Working With At PMG, we're redefining what's possible in digital marketing through Alli, our cloud-based suite of AI-powered tools. Alli has helped deliver ads to over 1 billion consumers in 80+ countries, driving meaningful results for some of the world's most recognized brands. As an AI & Software Engineering Manager, you'll lead a team of talented engineers focused on solving complex challenges, developing AI-driven solutions, and shaping the technology stack that powers Alli's Actions, Data, or Insights pillars. This isn't just a leadership role—it's an opportunity to influence the future of AI-powered marketing, drive real impact for our clients, and mentor engineers as they build groundbreaking solutions. You'll collaborate closely with product managers, engineering leaders, and cross-functional teams to define the technical vision and balance innovation with business needs. If you're passionate about AI, love tackling big challenges, and thrive in a fast-moving, supportive environment, this is the place for you. What You'll Be Doing • Lead and mentor a high-performing team of engineers, fostering career growth and technical excellence., • Work in a collaborative, fast-moving environment, where ideas turn into impactful solutions quickly., • Define and drive the technical vision and roadmap for Alli's AI-powered solutions, ensuring scalability, reliability, and long-term success., • Design, develop, and deploy cutting-edge AI-driven features that help brands make smarter marketing decisions., • Partner with Product Managers, Designers, and cross-functional teams to integrate AI solutions that enhance performance and drive measurable results., • Guide the team in best practices for clean code, automated testing, version control, and scalable architecture., • Conduct code reviews, debugging, and testing, ensuring high-quality, maintainable code., • 5+ years of software development experience with object-oriented programming, delivering scalable and maintainable solutions with a Bachelor's or Master's degree in Computer Science or Computer Engineering or related experience., • 2+ years leading and mentoring a team of engineers, fostering a culture of innovation, collaboration, and growth, • 2+ years of experience with AWS or other cloud platforms, including deploying and managing applications in cloud environments., • Proven ability to balance hands-on development with leadership responsibilities, ensuring team success., • Strong expertise in RESTful API design, system architecture, and SOLID engineering principles., • Proficiency in backend and frontend technologies, including Python, JavaScript (Node.js, React), and Go., • Hands-on experience with automated testing, CI/CD pipelines, and cloud-based deployments to ensure reliability and efficiency., • Familiarity with containerization and orchestration tools like Docker and Kubernetes for scalable application management., • Knowledge of infrastructure-as-code tools like Terraform or Ansible to streamline deployment processes., • Strong ability to communicate technical concepts clearly across teams, aligning engineering efforts with business objectives., • A proactive, problem-solving mindset with a focus on delivering real-world impact and continuous improvement., • Experience in digital marketing or advertising technology and its intersection with engineering solutions., • Familiarity with large-scale data processing frameworks such as Apache Spark or Kafka., • A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value., • A dedication to people-focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel., • Provide technical guidance and strategic insights to client teams, leveraging expertise in media, technology, and emerging trends., • Strong proficiency in SQL, Python, and other relevant programming languages for data manipulation, analysis, and process automation., • Interest or familiarity working in the Digital Marketing industry, • AWS Solutions Architect - Professional certification, • Prior experience working with Large Language Models (LLMs), • Familiarity with Infrastructure-as-Code tools like Terraform, • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support., • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones., • Parental Leave: We provide paid parental leave to support your family during important life events., • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching., • Fertility and Family Support: Access fertility benefits for all team members and their spouses., • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography., • Pet Insurance: Protect your pet's health and your finances., • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being., • Commuter Benefits: Access support for travel and commuting needs, where available., • Annual Bonus: All employees are eligible for an annual bonus., • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities., • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Description Job Title: MarTech Lead Developer with Tealium CDP experience Location: Irving TX (remote is also fine) Duration: 12 months Summary We are seeking a highly skilled and experienced MarTech Developer/Architect with a strong focus on customer data, omni channel personalization and media marketing. In this role, you will be instrumental in designing, developing, and implementing innovative marketing technology solutions that leverage data-driven insights to drive customer engagement and business growth. You will collaborate closely with enterprise architects, cross-functional teams, and business stakeholders to translate business requirements into robust and scalable MarTech solutions, with a particular emphasis on targeting, retargeting, real-time personalization, and customer data platform (CDP) implementations Key Responsibilities Digital Marketing & Targeting Architecture: Design and implement a robust media marketing architecture for new and existing customers, encompassing • Targeting & Retargeting: Develop and implement strategies for audience segmentation, targeting, and retargeting across various channels (e.g., social media, search, display, video)., • Lead Media Activation integration to enable digital marketing through social media and advertising platforms Real-time Personalization: • Design and implement real-time personalization strategies for existing and new customers across various channels (e.g.,online and offline channels)., • Integrate real-time data streams (e.g., website behavior, location data, purchase history) to deliver personalized experiences., • Design and Integrate rules-based and machine learning-based personalization models. Customer Data Platform (CDP) Development: • Design and implement a CDP strategy, including:  Data Ingestion & Orchestration: Develop and manage data pipelines for ingesting and enriching 1st, 2nd, and 3rd party data.  Customer Segmentation & Profiling: Develop and maintain customer segments based on behavioral, demographic, and other relevant data.  Data Activation: Integrate the CDP with downstream systems (e.g., marketing automation, advertising platforms, NBx and system of engagements ) to activate customer data for personalized campaigns. • Prospect Data Store & Management: o Design and implement a robust prospect data store, including:  Data acquisition and enrichment strategies.  Data quality and hygiene processes.  Data privacy and compliance considerations. • Cross-functional Collaboration: o Design and implement a scalable and robust MarTech Solution with the Enterprise Architecture team o Work closely with marketing, business, cross IT Teams and UX teams to understand their data needs, events to be captured and delivering use cases o Facilitate communication and knowledge sharing across all stakeholders. • Technology Expertise: o Deep understanding of MarTech stack, including Tealium, GCP, Kafka, Pega, and Adobe Target. o Expertise in CDPs (e.g., Tealium CDP, Adobe Experience Platform, Salesforce CDP,). o Strong understanding of data integration, data warehousing, and data pipelines. o Proficiency in SQL and NoSQL databases. o Experience with cloud computing platforms (GCP). Qualifications Education: • Bachelor's degree in Computer Science, Engineering, or a related field., • Experience: 7+ years of experience in MarTech development and architecture with a strong focus on media marketing,, • customer data, real-time personalization, and CDP implementations. Technical Skills: • Expertise in Tealium/Adobe, GCP, Kafka, Pega, and Adobe Target., • Expertise in CDPs (e.g., Tealium CDP, Adobe Experience Platform, Salesforce CDP)., • Strong programming skills in Java, Python, or other relevant languages., • Experience with data integration tools and technologies., • Proficiency in SQL and NoSQL databases., • Experience with cloud computing platforms (GCP). Other Skills: • Excellent communication and interpersonal skills., • Strong analytical and problem-solving skills., • Ability to work independently and as part of a team., • Detail-oriented and organized., • Passion for data-driven marketing and customer experience.

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo’s comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending.What you'll be doing • Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo’s core business verticals., • Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making., • Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions., • Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo’s risk framework and regulatory requirements for fairness and transparency., • Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately., • Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration.You'll bring the following required skills and experiences, • 8+ years of experience in Data Science, Applied Science, or a related quantitative field., • Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement)., • Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets., • Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure).

Job DescriptionBenefits: • Oppurtunity for Advancement, • Long Term As AI Architect Agentic & Generative AI, you will be responsible for defining, building, and scaling enterprise-grade agentic AI architecture on AWS. This role focuses on establishing frameworks, patterns, and guardrails that enable safe, reliable, and cost-efficient AI solutions, leveraging Amazon Bedrock (Agents, Knowledge Bases, Guardrails, Flows) and Claude models. You will collaborate with cross-functional teams in product, engineering, data, and security to deliver next-generation AI capabilities including retrieval-augmented generation (RAG), multi-agent orchestration, and governed AI operations driving measurable business impact through intelligent automation and decision-making systems. Responsibilities • Define and evolve the enterprise agentic AI architecture, establishing reusable frameworks and standards for RAG, tool/function calling, and multi-agent orchestration., • Design and implement AI solutions using Amazon Bedrock and integrate with core AWS services (Lambda, Step Functions, EventBridge, ECS/EKS, S3, Aurora, OpenSearch, DynamoDB)., • Drive adoption of agentic AI patterns planning, memory, and human-in-the-loop ensuring alignment with enterprise security and compliance frameworks., • Guide model selection and optimization (Claude family and Bedrock models), including prompt schema design, adapters, and fine-tuning strategies., • Implement advanced RAG pipelines with optimized chunking, reranking, grounding, and hybrid/vector retrieval using OpenSearch and pgvector., • Apply Guardrails and data-governance controls (IAM/ABAC, KMS, private networking) to ensure privacy, PII protection, and compliant operations., • Establish observability and reliability frameworks including evaluation pipelines, tracing, cost metrics, fallbacks, and A/B testing., • Collaborate with platform and DevOps teams to enable governed AWS landing zones, CI/CD automation, and environment management for AI workloads., • Publish architecture blueprints, starter kits, and best-practice guides for AI engineers and developers., • Mentor engineering teams and contribute to hiring, training, and AI community enablement initiatives., • Research and assess emerging AWS and open-source agentic tools, proposing pragmatic adoption strategies.Required Skills & Experience, • 8+ years designing and implementing large-scale distributed or cloud systems (including 4+ years on AWS)., • 2+ years building AI/ML or generative AI solutions in production environments., • Hands-on experience with Amazon Bedrock (Agents, Knowledge Bases, Guardrails) and Claude models., • Deep understanding of RAG design, hybrid/vector search (OpenSearch, pgvector), grounding, and citation techniques., • Proficiency in Python (preferred) or similar modern programming languages., • Solid grasp of AWS orchestration services (Lambda, Step Functions, EventBridge) and CI/CD practices., • Applied knowledge of AI governance, security, and observability (IAM, KMS, Guardrails, evaluation, tracing)., • Excellent communication and architectural documentation skills.Preferred Qualifications, • Expertise in Agentic AI systems, including multi-agent workflows, tool/function calling, and memory architectures., • Experience with LangChain, LangGraph, or similar orchestration frameworks., • Advanced prompt design, RAG optimization, and model customization experience., • AWS Certifications Solutions Architect (Professional) or Machine Learning Specialty.

Job Description The Business Development Leader- DFW North position is a dynamic, high-energy outside sales representative, responsible for growing new and existing accounts which use hygienic fluid handling components and equipment. The primary responsibility is to grow market share among customers in a specific region of Texas. Specific customer segments include: • Food, Dairy, Beverage, and Pharmaceutical Manufacturers, • OEM and Fabricators, • Pumps, Valves, Heat Exchangers, Instrumentation, Tank Cleaning, • Spare Parts, • Pipe, Tubing, Fittings, Hanging components, • Service opportunities for Valves, Plate Heat Exchangers, and high-speed separators, • Pump Repair and Remanufacturing, • The territory focuses on customers in the Northern DFW area, primarily North of Highway 20, to the Oklahoma border., • Notable cities in the territory include Wichita Falls, Mt. Pleasant, Garland, Denison, Plano, Mineral Wells, Grapevine, Terrell, and Paris. Sales Activities • Target Processors, resellers, and OEMs in all hygienic industries, in the assigned geography., • Generate year-over-year growth in the distributed products and service categories., • Speak into CSI’s sales strategy and value proposition by identifying industry trends and shifts in target markets., • Promote CSI eCommerce usage and speak into opportunities to improve the store., • Responsible for proactive calls, prompt lead follow-up, and communication to promote CSI products and develop positive business relationships for CSI., • Adopt, maintain, and propagate a philosophy of accountability for CSI sales functions., • Provide leadership to support team members by exhibiting professional and ethical conduct as well as a strong work ethic., • Build relationships between people at CSI and people at the customer or prospect company., • Prospect under-served geographies and provide business intelligence to the Sales Manager- Texas for the purpose of supporting the long-term regional strategy., • Develop and nurture relationships with CSI support personnel to further grow awareness and revenue. Examples of support personnel and their roles:, • CSR – quoting and order entry, • Project Management & Estimating- Site Services, Fabrication, • Marketing and sales support, • Accounting, • Purchasing, • Executive team About CSI: CSI provides state-of-the-art stainless-steel process equipment and service for the food, dairy, beverage, pharmaceutical, and personal care industries. We are a growing company with a passion for providing superior customer service. Our work environment is rooted in respect, teamwork, continual learning, and growth... with a large dose of community and fun! We believe our employees are our greatest resource and are committed to investing in our team. Which is why we offer employees the possibility of free monthly healthcare premiums, paid time off, retirement planning, on-going personal development and more! If it wasn’t already obvious, we also value fun and community! Which is why we strive to create an enjoyable and positive work environment – hosting company BBQs, bringing in local food trucks, casual Fridays, wellness programs, and even encouraging our team to invest and volunteer in our local community. We’re looking for fun and energetic candidates that want to join our growing family and ensure our customers delight in CSI. If this sounds like you, what are you waiting for? Apply now! Salary + Commission: Starting at $125K Primary Functions • Contribute to overall vision of increased sales through accountability and relationship management - daily, • Learn characteristics, including specific market, of each customer to determine what products and solutions have the most potential - ongoing, • Proactively identify, question, and suggest changes to standard procedures - ongoing, • Make systematic and efficient sales visits to customers and prospects at their plant and corporate locations - ongoing, • Formulate, write and implement a business plan stating goals and sales strategies to achieve those goals – quarterly, • Maintain an up-to-date cookbook with core tactics and responsibilities - weekly, • Develop rapport with, and delegate appropriate tasks to, assigned inside sales representatives, technical consultants, project managers, and estimators - ongoing, • Respond to customer requests for information - daily, • Communicate special customer needs to customer service, special alloys and design in organized and well documented manner - daily, • Enter notes in CRM, per procedure, to document all completed and scheduled activities - daily, • Understand and follow established procedures for sales, project management, purchasing, and returns - daily, • Submit activity report per procedure - ongoing, • Communicate strategic plan and progress to Sales Manager – Texas - monthly, • Maintain major projects list showing jobs being pursued and their status. - monthly, • Maintain a positive relationship with personnel for equipment manufacturers - ongoing Education/Training: • Equipment sales experience in food and/or pharmaceutical industries, • Exposure to estimating design and application of process equipment, • Experience with sales management, • Proficiency in computer OS and MS Office Suite, • Valid Driver's License, • Ability to travel to customer locations, • Clean driving record This position requires the ability to interact with employees and customers verbally and in writing, remain in a stationary position for 80% of the workday, have close visual acuity, and constantly operate a computer and other office productivity equipment, such as a phone, copy/fax/scan machine, computer keyboard and mouse with or without reasonable accommodation. This position also requires the ability to occasionally lift, stoop, bend, and lift product, materials, and supplies, up to 30 pounds. CSI has a long standing policy of Equal Opportunity in employment. Our practice is to fill positions by selecting applicants who can perform the work in a competent and professional manner. We do not discriminate on the basis of age, sex, race, color, religion, national origin, sexual orientation, gender identity, protected veteran status, or individuals with disability. U.S. federal law requires completion of employment eligibility verification upon hire. CSI participates in E-Verify. Must have the right to work in the United States.

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do • Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases, • Deploy and operate the core ML inference workloads for our AI Voices serving pipeline, • Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models, • Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issuesAn Ideal Candidate Should Have, • Experience shipping Python-based services, • Experience being responsible for the successful operation of a critical production service, • Experience with public cloud environments, GCP preferred, • Experience with Infrastructure such as Code, Docker, and containerized deployments., • Preferred: Experience deploying high-availability applications on Kubernetes., • A dynamic environment where your contributions shape the company and its products, • A team that values innovation, intuition, and drive, • Autonomy, fostering focus and creativity, • The opportunity to have a significant impact in a revolutionary industry, • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture, • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job DescriptionAbout Invoca: Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures. About the Team: This team drives the new logo and current customer business and collaborates with our marketing, SDR, and customer success teams. About the Role: The Enterprise Regional Sales Director works with our largest prospects and clients to drive adoption of the Invoca products. About 25% of the time, travel is required across the U.S. and Canada. This role reports to the Director of Enterprise Sales. You Will: • Prospect, identify, develop, negotiate, and ultimately drive new logos and customer revenue by uncovering opportunities within account and prospect territory., • Develop and lead a pipeline within your territory to meet or exceed targets., • Lead strategies for our largest accounts and prospects., • Thoroughly understand enterprise customer needs and effectively communicate the Invoca value proposition across business lines., • Build and execute sales strategies, presentations, and software demonstrations for your accounts., • Provide forecast updates., • Understand the business landscape and be able to articulate differentiators., • Provide feedback to the marketing, SDR, and product teams., • Present effectively to external customers across all levels, from marketing staff to C-suite executives.You Have:, • 7+ years of quota-carrying, B2B SaaS experience selling marketing tech and ad tech to complex organizations, • 2+ Years AI Experience, • Prior enterprise new logo experience with large enterprises., • Experience using modern SaaS sales tech stack, including Salesforce, LinkedIn, Salesloft, remote collaboration tools, and more, • Experience negotiating business terms with senior management and C-suite executives, including MSSA, Order Forms, SOWs, and other deal documentation., • Experience with marketing and customer acquisition processes Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations. • Flexible Time Off – We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays – Invoca provides 20 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits – Our healthcare program includes medical, dental, and vision coverage, with multiple plan options to choose what works best for you and your family. Fertility assistance is also included., • Retirement – Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options – All employees are invited to share in Invoca's success through stock options., • Mental Health Program– Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave – Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave – Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation – As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy – We provide a subsidy that can be applied toward gym memberships, fitness classes, and more. #LI-Remote

Job DescriptionBenefits: • Competitive salary, • Flexible schedule Roles & Responsibilities : • Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts., • Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation)., • Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to productionensuring reliability, scalability, monitoring, and maintainability., • Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection., • Optimize models and pipelines for performance, cost, and efficiency., • Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use., • Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning., • Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt. Must-Have Qualifications: • 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI., • Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc., • Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering., • Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases., • Experience working in production / deploying models (batch and streaming), working with MLOps practices., • Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty., • Good communicator: able to translate complex technical detail to business / non-technical stakeholders. Nice to Have: • Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field., • Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems., • Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks., • Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements. Work remote temporarily due to COVID-19.

Job Description The Business Development Leader- DFW North position is a dynamic, high-energy outside sales representative, responsible for growing new and existing accounts which use hygienic fluid handling components and equipment. The primary responsibility is to grow market share among customers in a specific region of Texas. Specific customer segments include: • Food, Dairy, Beverage, and Pharmaceutical Manufacturers, • OEM and Fabricators, • Pumps, Valves, Heat Exchangers, Instrumentation, Tank Cleaning, • Spare Parts, • Pipe, Tubing, Fittings, Hanging components, • Service opportunities for Valves, Plate Heat Exchangers, and high-speed separators, • Pump Repair and Remanufacturing, • The territory focuses on customers in the Southern DFW area, primarily South of Highway 20, to Temple., • Notable cities in the territory include Corsicana, Brownwood, Burleson, Stephenville, Abilene, Waco, Tyler, Temple, and Palestine. Sales Activities • Target Processors, resellers, and OEMs in all hygienic industries, in the assigned geography., • Generate year-over-year growth in the distributed products and service categories., • Speak into CSI’s sales strategy and value proposition by identifying industry trends and shifts in target markets., • Promote CSI eCommerce usage and speak into opportunities to improve the store., • Responsible for proactive calls, prompt lead follow-up, and communication to promote CSI products and develop positive business relationships for CSI., • Adopt, maintain, and propagate a philosophy of accountability for CSI sales functions., • Provide leadership to support team members by exhibiting professional and ethical conduct as well as a strong work ethic., • Build relationships between people at CSI and people at the customer or prospect company., • Prospect under-served geographies and provide business intelligence to the Sales Manager- Texas for the purpose of supporting the long-term regional strategy., • Develop and nurture relationships with CSI support personnel to further grow awareness and revenue. Examples of support personnel and their roles:, • CSR – quoting and order entry, • Project Management & Estimating- Site Services, Fabrication, • Marketing and sales support, • Accounting, • Purchasing, • Executive team, • OEM & vendor personnel CSI employees are engaged daily in the company’s culture, committed to our core values, and have a passion for excellence to successfully drive and support the company’s goals, vision, and mission. We take care of each other and do what we say we’ll do. About CSI: CSI provides state-of-the-art stainless-steel process equipment and service for the food, dairy, beverage, pharmaceutical, and personal care industries. We are a growing company with a passion for providing superior customer service. Our work environment is rooted in respect, teamwork, continual learning, and growth... with a large dose of community and fun! We believe our employees are our greatest resource and are committed to investing in our team. Which is why we offer employees the possibility of free monthly healthcare premiums, paid time off, retirement planning, on-going personal development and more! If it wasn’t already obvious, we also value fun and community! Which is why we strive to create an enjoyable and positive work environment – hosting company BBQs, bringing in local food trucks, casual Fridays, wellness programs, and even encouraging our team to invest and volunteer in our local community. We’re looking for fun and energetic candidates that want to join our growing family and ensure our customers delight in CSI. If this sounds like you, what are you waiting for? Apply now! Salary + Commission: Starting at $125K Primary Functions • Contribute to overall vision of increased sales through accountability and relationship management - daily, • Learn characteristics, including specific market, of each customer to determine what products and solutions have the most potential - ongoing, • Proactively identify, question, and suggest changes to standard procedures - ongoing, • Make systematic and efficient sales visits to customers and prospects at their plant and corporate locations - ongoing, • Formulate, write and implement a business plan stating goals and sales strategies to achieve those goals – quarterly, • Maintain an up-to-date cookbook with core tactics and responsibilities - weekly, • Develop rapport with, and delegate appropriate tasks to, assigned inside sales representatives, technical consultants, project managers, and estimators - ongoing, • Respond to customer requests for information - daily, • Communicate special customer needs to customer service, special alloys and design in organized and well documented manner - daily, • Enter notes in CRM, per procedure, to document all completed and scheduled activities - daily, • Understand and follow established procedures for sales, project management, purchasing, and returns - daily, • Submit activity report per procedure - ongoing, • Communicate strategic plan and progress to Sales Manager – Texas - monthly, • Maintain major projects list showing jobs being pursued and their status. - monthly, • Maintain a positive relationship with personnel for equipment manufacturers - ongoing Education/Training: • Equipment sales experience in food and/or pharmaceutical industries, • Exposure to estimating design and application of process equipment, • Experience with sales management, • Proficiency in computer OS and MS Office Suite, • Valid Driver's License, • Ability to travel to customer locations, • Clean driving record This position requires the ability to interact with employees and customers verbally and in writing, remain in a stationary position for 80% of the workday, have close visual acuity, and constantly operate a computer and other office productivity equipment, such as a phone, copy/fax/scan machine, computer keyboard and mouse with or without reasonable accommodation. This position also requires the ability to occasionally lift, stoop, bend, and lift product, materials, and supplies, up to 30 pounds. CSI has a long standing policy of Equal Opportunity in employment. Our practice is to fill positions by selecting applicants who can perform the work in a competent and professional manner. We do not discriminate on the basis of age, sex, race, color, religion, national origin, sexual orientation, gender identity, protected veteran status, or individuals with disability. U.S. federal law requires completion of employment eligibility verification upon hire. CSI participates in E-Verify. Must have the right to work in the United States.

Job DescriptionWaabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As Waabi continues to grow rapidly in 2026, the Infrastructure team will be challenging ourselves to improve our ML infrastructure both in scale and efficiency while ensuring additional systems supporting the company’s engineering and research efforts are running top notch. We’re looking for a candidate who has extensive experience in designing, implementing and troubleshooting physical computers and networks while being able to work with cloud systems where necessary. The ideal candidate would work closely with the hardware team to collaboratively design and implement vehicle computers and networks. The successful candidate will also actively contribute to our physical infrastructure to advance machine learning efforts, CI systems, and software delivery. You will...- Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.- Collaborate with hardware team on vehicle compute and network designs and implementation.- Work with software and hardware teams on OS and software delivery into vehicles.- Assist with vehicle compute and network performance tuning and diagnostics as needed.- Work with software and hardware teams to implement and maintain high volume data pipelines.- Work on multiple projects designing, building, deploying tools, systems and infrastructure to support vehicle development.- Design and implement high performance physical networks and computing systems. Qualifications:- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.- 5+ years of relevant industry experience.- Deep understanding of computer and network hardware and how detailed selection affects performance and reliability.- Experience with on-premise servers, network equipment and storage systems.- Experience in Linux and Linux kernel (packaging, performance tuning, low level debugging, hardening).- Experience with configuration management (Ansible preferred) and system administration.- Familiarity with security concepts, access management, and data security.- Experience with containers and container orchestration (i.e., Docker, Kubernetes).- Experience with high performance network design and debugging.- Experience with CI/CD pipelines and release management.- Experience with Python and Bash.- Open-minded and collaborative team player with the willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.- Experience working in an Agile/Scrum environment- Able to travel occasionally to United States. Bonus:- Experience with rugged wireless technologies (ie. LTE/5G modems).- Experience with scale-out storage systems.- Experience working with public cloud platforms (AWS preferred).- Experience with infrastructure as code systems (Terraform preferred).- Experience with automated building of OS images for deployment onto physical computers.- Familiarity with self-driving vehicle sensors and hardware.- Some experience in reading and developing production quality software.- Familiarity with GO, Rust or C++ ecosystems.- Experience with building platform services that enable other teams to do their best work.- Experience in common ML tools, workflows and frameworks (i.e. systems like Kubeflow or MLFlow).Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are looking for a Data Scientist for one of our leading engineering clients in Irving, TX or Cary, NC. APPLY NOW! Title: Data Scientist 3 Location: Irving, TX or Cary, NC-100% onsite- Cary, NC preferred Hours: M-F regular 40 hour work week Type: Contract Pay: range $39-42.77/hour on w2 Length: 12 months- possibility to extend Screenings: no tech, full panel drug and background once hired IV process: 2 onsite IV's +optional benefits, long term contract with ability to extend or convert to full time ⭐ Must haves: • Years of experience: 5+ years (regardless of level of degree) - will accept internships as job experience, • Degree requirement: Bachelors and/or Masters are required, • Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow), • Strong foundation in statistics, probability, and machine learning, • Familiarity with cloud platforms (e.g., Azure, AWS, Snowflake) and data modeling, • experience working in at an enterprise level, • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Description A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Position’s Contributions to Work Group: • A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making., • This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation. Why (client name removed)? “Whether it be ground-breaking products, best in class solutions or a lifelong career, you can build what matters to you at (client name removed). With 150 locations in countries around the world, what you create at (client name removedtravels and helps people around the world. You can collaborate with the best minds in the industry, complete meaningful work and continuously grow and develop through our various opportunities. Here, you can do the work that matters.” Typical Day or Week in the Role • Typical task breakdown and rhythm, • Interaction level with team, • Team Structure, • Work environment description Typical task breakdown: • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability, • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets, • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making, • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings, • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment, • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals, • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges Interaction with team: • Primarily working with 10+ folks, working with business ( technical team and partners ) Work environment: (Required) • Excellent communication, • Choppy tenure, • Any project done outside of work (Data Science work) is also welcome., • If candidate isn’t local at this time, we are not interested in in reviewing those resumes at this time.Company DescriptionWorking with brand new state of the art security technologies and methodologies, remote work full time, great benefits, 401K.Working with brand new state of the art security technologies and methodologies, remote work full time, great benefits, 401K.

Job DescriptionSenior Full Stack Engineer (Frontend & BFF Focus) Location: Charlotte, Dallas, TX Employment Type: Contract Candidate Location = Candidate should be local to Dallas,TX (In-person interview is a must) GC and USC Role Overview We are seeking a Senior Full Stack Engineer with strong expertise across Frontend (UI) and Backend-for-Frontend (BFF) layers. This role is responsible for building scalable, secure, and high-performance web applications using modern frontend frameworks and backend integration patterns. The ideal candidate is a hands-on engineer who partners closely with UX/UI, Architecture, and Platform teams, applies modern engineering practices, and delivers enterprise-grade, customer-facing solutions. Key Responsibilities Frontend & BFF Development * Design and develop frontend UI components using React.js, Next.js, and TypeScript * Build and maintain Backend-for-Frontend (BFF) layers using Java, JavaScript, Node.js, REST, GraphQL, or MuleSoft * Develop responsive and adaptive web applications optimized for multiple devices and browsers * Apply Micro Front-End architectures where applicable UX & Performance Engineering * Collaborate closely with UX/UI Designers to deliver intuitive, high-quality user experiences * Implement engineering best practices to ensure high-performance, browser-friendly web solutions * Continuously improve website and application performance using monitoring tools such as Dynatrace, Quantum Metric, Splunk, and similar platforms Engineering Excellence * Design, code, test, debug, and document new and existing components * Build high-quality, secure, and maintainable code using: * Unit testing * Test-driven development (TDD) * Security-driven development * Implement all critical Non-Functional Requirements (NFRs), including: * Scalability * Security * Availability * Performance * Troubleshoot and resolve code-level issues quickly and efficiently Architecture & Collaboration * Partner with Enterprise and Application Architecture teams to contribute to solution design and technical architecture * Apply deep technical expertise to solve complex programming and design challenges * Actively participate in Agile/Scrum processes, including sprint planning, user story creation, and code reviews AI-Assisted Development * Effectively leverage GitHub Copilot across the SDLC for: * Pair programming * Unit and automation test generation * Writing user stories and improving developer productivity Required Technical Skills Frontend * React.js * Next.js * TypeScript * Micro Front-End Architecture * HTML5, CSS3, Bootstrap.js * JavaScript, XML Backend / BFF * Java and/or JavaScript * Node.js * RESTful Services * GraphQL * Spring Boot * MuleSoft (preferred) Data & Integration * NoSQL databases (MongoDB, Cassandra) * Kafka / MQ * Redis Cloud & DevOps * Azure and/or AWS cloud environments * Docker, Kubernetes * Jenkins, Git, Jira * CI/CD pipelines Monitoring & Observability * Splunk * Dynatrace * Prometheus / Grafana Additional * AI and Machine Learning exposure (preferred) * Strong understanding of security best practices and enterprise NFRs Preferred Qualifications * Experience building enterprise-scale web platforms * Strong understanding of frontend performance optimization * Hands-on experience with GraphQL-based BFF architectures * Experience working in high-availability, regulated, or large-scale environments

Job DescriptionShowcase transformative AI. Shape smarter customer experiences. Have you ever wanted to help enterprises understand what cutting-edge AI can truly unlock for their customer experience? As our Senior Solution Engineer, you'll partner closely with prospects to uncover their needs, frame the right solution, and demonstrate the unique value Coveo brings to the world of Service & Knowledge. You'll join a passionate Sales team that thrives on collaboration, creativity, and consultative expertise. If you love turning complex technology into crisp, compelling value, and winning alongside people who care, this role will feel like home. As one of our Senior Solution Engineers, you will: • Guide prospective customers in understanding, comparing, and evaluating Coveo's Service & Knowledge solutions to support confident buying decisions., • Conduct deep technical discovery to assess fit, capture requirements, uncover risks, and respond to technical and security-related questions throughout the evaluation., • Build and deliver tailored demos that highlight relevant capabilities, differentiators, and clear business value in competitive environments., • Lead technical components of Proofs of Concept and serve as the technical owner for RFIs/RFPs, collaborating cross-functionally to position Coveo for success., • Act as a trusted advisor by providing strategic guidance on AI-powered digital transformation and aligning our capabilities with long-term customer outcomes., • Build durable, trust-based relationships with stakeholders while representing Coveo at select events, conferences, and industry engagements.Here is what will qualify you for the role:, • 6+ years of experience as a Presales professional (Solution Engineer, Sales Engineer, Solution Consultant) with strong demo, POC, and competitive positioning practices., • Experience supporting CX, customer service, support, or knowledge management use cases; familiarity with platforms like Salesforce Service or Data Cloud, SAP CX, or Genesys is an asset., • Working knowledge of AI, machine learning, and search-related models (query suggestions, generative answering, etc.)., • Programming familiarity (Python, JavaScript) and experience working with APIs (e.g., Postman)., • Ability to navigate medium and large enterprises with ease — stakeholders, processes, and decision structures., • A consultative mindset backed by excellent storytelling and technical communication skills., • Experience representing the voice of the customer to product teams. Send us your application, we want to hear from you! Join the Coveolife! Coveo is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability status, marital status, gender identity, or veteran status.

Job DescriptionJob Summary: CG infinity is seeking an AI/ML Consultant with 5+ years of experience in machine learning and GenAI solutions to improve document evaluation accuracy using supervised ML models and support LLM-based initiatives for a leading enterprise client. Responsibilities: • Design and optimize classical ML models (regression, classification) for tabular and text data., • Translate business problems into actionable data science solutions., • Use AWS SageMaker for data preparation, model development, training, deployment, and monitoring., • Provide AI/ML advisory and mentorship to client teams., • Support prompt engineering and agent/MCP development for GenAI use cases., • Establish testing and evaluation methodologies for model accuracy.Required Qualifications:, • 5+ years of experience in AI/ML development and data science., • Strong experience in classical ML modeling (regression, classification)., • Proficiency with AWS SageMaker across the ML lifecycle., • Expertise in prompt engineering and agent/MCP development. 91ekQVP4D6

Job Description Position Summary: We are seeking a motivated Data Scientist to research, develop, and enhance machine learning and deep learning algorithms that drive innovative healthcare solutions. This role involves maintaining high data quality standards, collaborating with clinical and business partners to understand their needs, and translating advanced research into practical applications. The ideal candidate will assist in building and improving deep learning frameworks, manage projects independently, and work effectively both individually and within cross-functional teams. Staying current with emerging technologies and demonstrating strong communication, attention to detail, and persistence are essential for success in this role. Essential Duties and Responsibilities: • Research, develop, and enhance machine learning and deep learning algorithms and frameworks for computer vision applications, translating cutting-edge research into practical healthcare solutions., • Implement and optimize deployment pipelines for trained models to enable efficient, scalable, and hardware-optimized inference., • Apply model optimization techniques to reduce computational overhead while preserving accuracy., • Maintain data quality and integrity across the data lifecycle to support robust algorithm development and model training., • Collaborate with clinical partners and internal stakeholders to understand needs and deliver AI solutions that improve model performance., • Assist in writing deep learning framework templates, identifying improvement areas, and implementing new model architectures., • Manage projects independently and contribute effectively as part of a team, ensuring reproducible analyses, clear documentation, and knowledge sharing., • Stay updated with the latest data science methods, technologies, and industry trends., • Strong foundation in state-of-the-art deep learning architectures (e.g., vision transformers) for computer vision tasks including image classification, object detection, and semantic segmentation., • Proficiency in deep learning libraries and frameworks, including PyTorch and TensorFlow., • Proficiency in C++ regarding object-oriented programming, data structure and performance optimization technique., • Solid knowledge of model optimization techniques, such as pruning, quantization, mixed-precision inference, and other performance-enhancing strategies., • Solid knowledge of model deployment tools, including ONNX, LibTorch, and TensorRT., • Strong grasp of model evaluation metrics, benchmarking, and best practices for computer vision model validation., • Self-driven with the ability to deliver on ambiguous projects with incomplete data., • Experience and knowledge in healthcare domain with successful outcomes. Prolonged periods of sitting at a desk and working on a computer. Travel: N/A Equal Employment Opportunity: Spectral MD, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.

Job Description Role: Java Developer with Github CoPilot / AI CodeGenerator - Irving, TX / Phoenix, AZ / Charlotte, NC / North Brunswick,NJW2Role Email: *Highly skilled Java developer (75%) with deep expertisein Core Java, Spring Boot, Microservices, and Kafka. Experienced inintegrating AI (50%) using GitHub Copilot, Spring AI, and Amazon SageMaker forintelligent application development. Proficient inMongoDB, PostgreSQL, and GitHub, with a strong focus on scalable, AI-enhancedbackend systems. : Bachelors or Masters degree in Computer Science, SoftwareEngineering, or a related field. Minimum of 10 years of proven experience as a Java Developerwith a strong portfolio of successful projects. Extensive experience with Generative AI concepts,frameworks, and applications. Proficiency in utilizing GitHub Copilot and otherAI-assisted development tools to optimize coding processes. Deep understanding of the Spring Framework, Hibernate, andother Java technologies. Familiarity with cloud platforms (AWS, Azure, Google Cloud)and their AI services. Experience with database design, management, and SQL (MySQL,PostgreSQL, etc.). Exceptional problem-solving skills, attention to detail, anda commitment to quality. Strong communication, leadership, and mentorship abilities. Preferred, but not required: Experience with machine learning frameworks (e.g.,TensorFlow, PyTorch). Familiarity with containerization and orchestrationtechnologies (Docker, Kubernetes). Knowledge of front-end technologies (HTML, CSS, JavaScript)is a plus

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data. Work Location: This is a remote position, open to candidates who reside in: Dallas / Fort Worth, TX. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: * Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. * Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. * Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. * Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. * Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. * Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. * Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. * Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: * 4+ years of industry or other quantitative technical fields (which may include academia). * 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data * 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: * Advanced degree in a quantitative or technical field * Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionCompany Description Job Description Role: Sr. Tech Lead Duration: Long Term Location: NYC, Dallas, and Charlotte- Hybrid Job Description We are seeking a highly experienced Senior Technology Lead to drive end-to-end delivery of large-scale, business-critical software solutions for leading global financial institutions. This role offers a unique blend of hands-on technical leadership (60%) and strategic mentorship/client engagement (40%). You will lead cross-functional development teams, architect innovative solutions, build and present Proof-of-Concepts, and champion the adoption of modern technologies including AI/GenAI across risk, audit, and capital markets domains. Key Responsibilities Technical Leadership & Architecture · Lead cross-functional development teams in designing, building, and delivering enterprise-scale software platforms for financial services clients · Own end-to-end technical delivery: requirements analysis, architecture design, hands-on development, code reviews, and post-production support · Conduct design reviews, drive architectural decisions, and establish engineering best practices across teams · Design and implement scalable systems using modern patterns (microservices, event-driven architecture, cloud-native design) Innovation & AI/GenAI Solutions · Build and present Proof-of-Concepts (PoCs) for AI, machine learning, and generative AI solutions tailored to client challenges in risk, audit, and capital markets · Drive the architecture and development of AI/LLM-based solutions and modern data pipelines · Make informed technology decisions (build vs. buy) backed by research and prototyping Client Engagement & Delivery Excellence · Translate complex business requirements into scalable technical solutions; engage with financial services executives on technology strategy · Ensure solutions align with client business needs, regulatory requirements, and operational constraints · Balance delivery timelines, quality standards, and team capacity while maintaining a delivery-focused culture Team Mentorship · Mentor senior engineers and development teams, fostering collaboration, skill development, and best practices · Build reusable components and maintain rigorous documentation standards Required Qualifications · Bachelor's degree in Computer Science, Engineering, or related field · 15+ years of hands-on software development experience with proven expertise across full stack (front-end, back-end, data) · 5+ years leading large and mentoring teams through large -scale digital transformations across software, data and AI · Deep expertise in .NET ecosystem (C#, ASP.NET Core, Entity Framework/Dapper ORM, SQL Server) · Proficiency in modern front-end frameworks (React, Angular, or Vue), relational databases, and cloud platforms (Azure, AWS, or GCP), CI/CD SLDC · Strong understanding of event-driven architectures, microservices, caching strategies, and messaging solutions (e.g., Solace, SignalR, Apache Ignite), Cloud migration strategy and architecture patterns · Hands-on experience designing and building AI/ML and GenAI solutions, with ability to architect scalable data pipelines · Domain familiarity with financial services, risk technology, audit, or capital markets operations · Agile expertise: proven experience with Scrum/Kanban, Jira, Confluence, Test Driven Development (TDD, Automated Testing and collaborative development practices · Excellent communication skills: ability to present technical solutions to both technical teams and executive stakeholders Preferred Qualifications · Hands-on knowledge of legacy system analysis and modern platform rewrites · Familiarity with regulatory and compliance requirements in financial services Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance, • Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes, • Assess the effectiveness and accuracy of new data sources and data gathering techniques, • Understand and apply proper risk framework to your analysis and modeling., • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions, • Collaborate cross functionally to implement models and monitor outcomesYou'll bring the following required skills and experiences, • 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc, • Credit and / or Fraud Risk modeling experience in consumer finance is nice to have, • Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions, • Experienced in using Python for analysis and modeling, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.), • Excellent cross-functional communication skills

Job Description Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. * Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. * Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. * Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. * Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. * Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. * Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. * Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications * Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. * Excellent written and verbal communication; proactive and collaborative mindset. * Comfortable in hybrid or distributed environments with strong ownership and accountability. * A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. * Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience * 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. * Expert SQL (query optimization on large datasets) and Python skills. * Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). * Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. * Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). * Bonus: Strong Node.js skills for faster onboarding and system integration. * Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

Job DescriptionZimperium® is an industry leader in enterprise mobile security, being the first and only company to provide a complete mobile threat defense system that offers real-time, on device world-class protection against both known and unknown next generation of advanced mobile cyberattacks and malware. Our MTD and award-winning machine learning-based engine protects against device, network, phishing and application attacks for IOS, Android and Windows devices, using a non-intrusive approach to always protect privacy of users. Position Summary: We are seeking a highly experienced and self-directed Senior Cloud Security Engineer to join our team. This critical role is responsible for designing, implementing, and maintaining robust security controls across our multi-cloud environment. The ideal candidate will possess deep technical knowledge, a proactive, automation-first mindset, and the ability to operate independently, taking full ownership of security responsibilities in a fast-paced environment. Location: Dallas, TX Key Responsibilities: Multi-Cloud Security Architecture: Design, implement, and manage security best practices and controls for services hosted across AWS, Azure, GCP, and OCI environments.Infrastructure as Code (IaC) & Automation: Act as the subject matter expert for security automation, leveraging CloudFormation and/or Terraform to deploy secure infrastructure consistently and at scale.System Hardening: Implement and enforce rigorous security configuration benchmarks, specifically CIS Level 2 and DISA STIGs, across all compute environments, including various flavors of Linux and Kubernetes clusters.Security Tooling & Operations: Configure, manage, and optimize cloud-native and third-party security tools such as Palo Alto Prisma Cloud, Orca, Google SecOps, and Palo Alto Next Generation Firewalls.Application & Network Defense: Deploy and manage Web Application Firewalls (WAFs), including F5 and other cloud-native WAF solutions, to protect critical applications.DevSecOps & Pipeline Security: Integrate security testing tools (SAST, DAST, SCA) into CI/CD pipelines to enable "shift-left" security practices.Secrets and Key Management: Design and maintain solutions for the secure storage and rotation of credentials, API keys, and secrets using tools like HashiCorp Vault or equivalent cloud-native services.Risk & Design Review: Conduct threat modeling and perform security reviews for new applications and services to proactively identify and mitigate risks in the design phase.Incident Response & On-Call: Participate in a rotating on-call schedule to address security incidents and operational issues promptly.Compliance & Reporting: Support internal and external audits by generating evidence, writing detailed reports, and delivering clear, concise technical presentations to leadership.Leadership & Mentorship: Operate with minimal oversight, taking the initiative to identify and suggest security improvements and drive projects to completion. Required Qualifications & Experience: • Experience working within highly regulated environments, such as FedRAMP, DoD, or similar government/financial sectors.- Demonstrated experience with implementing and maintaining controls for security frameworks such as ISO 27001 and SOC 2.- Experience conducting formal threat modeling and risk analysis.- Experience gained from both a large enterprise environment (for process and scale) and a fast-paced startup/tech company (for agility and innovation).- Relevant industry certifications (e.g., CISSP, CCSP, AWS/Azure/GCP Security Specializations). Zimperium® is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Job Description We are PMG Named Ad Age Best Places to Work for 10 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You'll Be Working With At PMG, our Data Science team is at the core of transforming complex data into strategic insights that drive smarter marketing, media, and business decisions. We don't just analyze numbers—we build predictive models, develop automation, and refine AI-driven solutions that help brands optimize performance, personalize experiences, and maximize impact across digital channels. You'll collaborate with engineers, analysts, media strategists, and product teams, applying advanced data science techniques to enhance targeting, improve measurement, and develop next-generation marketing intelligence. Whether it's training machine learning models, engineering scalable data pipelines, fine-tuning optimization algorithms, or advancing AI-driven marketing strategies, your expertise will help brands connect with the right audiences, at the right time, with the right message—more efficiently than ever before. Beyond execution, you'll play a key role in exploring emerging AI technologies, refining data science methodologies, and shaping the future of predictive analytics and automation. You'll have opportunities to test new approaches to measurement, integrate deep learning into decision-making processes, and experiment with AI-powered media solutions that redefine what's possible in digital marketing. At PMG, we don't just respond to industry trends—we set them, ensuring our clients stay ahead in a rapidly evolving, data-driven world. As Head of Data Science, you'll have the opportunity to tackle complex challenges, lead AI-driven innovation, and turn analytics into meaningful business and marketing outcomes. What You Will Do • Develops and champions the long-term (3-5 year) strategic vision and execution roadmap for a broad data science organization, ensuring alignment with PMG's overarching business strategy and market leadership goals., • Leads and mentors a team of Data Science Directors and/or Senior Managers, fostering a culture of high performance, strategic thinking, innovation, and impactful leadership across multiple teams., • Accountable for the P&L or substantial budget of a large data science practice, driving revenue growth, cost efficiencies, and measurable ROI from AI/ML initiatives., • Directs the incubation, scaling, and enterprise-wide adoption of cutting-edge AI/ML capabilities (e.g., federated learning, large-scale reinforcement learning, advanced knowledge graphs) that create significant competitive differentiation., • Serves as a primary advisor to C-suite executives on AI/ML strategy, investment, and risk, translating complex technological possibilities into clear business implications and strategic opportunities., • Builds and cultivates C-level relationships with key clients and strategic partners, acting as an executive sponsor for critical data science engagements and driving new business at a strategic level., • Establishes and governs enterprise-level policies for AI ethics, data governance, model risk management, and regulatory compliance, ensuring responsible and secure AI deployment at scale., • Represents PMG's AI/ML thought leadership and capabilities at premier industry events, in influential publications, and with key industry analysts, shaping market perceptions and attracting top talent., • Drives organizational design, talent strategy, and succession planning for a significant segment of the data science function, ensuring a robust pipeline of future leaders and technical experts., • Oversees the most critical and complex AI/ML programs, ensuring they deliver transformative business outcomes and set new standards for excellence in execution., • 20+ years of experience in data science, including 10+ years of leadership experience, with a bachelor's degree or equivalent work experience., • Proven ability to lead and scale data science programs across complex organizations, translating strategic objectives into high-impact analytical initiatives., • Deep expertise in machine learning, causal inference, and statistical modeling using Python, R, and advanced analytics frameworks., • Strong fluency in experimentation design, forecasting, and measurement strategies to guide product and business decision-making., • Skilled in collaborating with engineering and data platform teams to build scalable data infrastructure and production-ready modeling pipelines., • Track record of influencing executive stakeholders through clear communication, analytical storytelling, and evidence-based insights., • Experienced in building inclusive, high-performing teams, and mentoring data science leaders to foster innovation, growth, and consistency., • A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value., • A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by Leading by Example and nurturing strong relationships that empower others to excel. What We Offer • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support., • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones., • Parental Leave: We provide paid parental leave to support your family during important life events., • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching., • Fertility and Family Support: Access fertility benefits for all team members and their spouses., • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography., • Pet Insurance: Protect your pet's health and your finances., • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being., • Commuter Benefits: Access support for travel and commuting needs, where available., • Annual Bonus: All employees are eligible for an annual bonus., • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities., • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job DescriptionSalary: $52 hourly Position: Data Engineer Location: Irving, TX (Hybrid 3x in office) Employment Type:Contract-to-hire Contract Duration: 6months-1year The data engineer is responsible for designing, building, and maintaining the systems and infrastructure needed for data storage, processing, and analysis. The data engineerwill work with a multidisciplinary Agile team to build high-quality data pipelines, generate insights from connected data, and advance the company's data-driven decision-makingcapabilities. Responsibilities: Designs, develops, optimizes, and maintains data architectureand pipelines that adhere to ELT principles and business goals. Solves complex data problems to delivers insights that helpsbusiness achieve its goals. Creates data products for engineer, analyst, and data scientistteam members to accelerate their productivity. Engineer effective features for modelling in close collaborationwith data scientists and businesses. Leads the evaluation, implementation and deployment ofemerging tools and process for analytics data engineering inorder to improve productivity as a team and quality. Partners with machine learning engineers, BI, and solutionsarchitects to develop technical architectures for strategicenterprise projects and initiatives. Fosters a culture of sharing, re-use, design for scale stability,and operational efficiency of data and analytical solutions. Advises, consults, mentors, and coach other data and analyticprofessionals on data standards and practices. Develops and delivers communication and education plans onanalytic data engineering capabilities, standards, andprocesses. Learns about machine learning, data science, computer vision,artificial intelligence, statistics, and/or applied mathematics asnecessary to carry out role effectively. Key Skills: • Experience in building data pipelines and deploying/maintaining them following modern DE best practices -target tech stack: Python OSS Data Ecosystem (PySpark, pandas, Dash); knowledge of SQL, DBT is a plus, • Heavy experience with Azure Data Factory is a must., • Experience with designing and maintaining data warehouses and/or data lakes with big data technologies suchas Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases, • Basic familiarity with BI tools (e.g., Alteryx, Tableau, Power BI, Looker), • Experience working in data engineering or data architect role Qualifications &Technical Skills • Must be able to work in the US. SoHo Dragon does not provide visa sponsorship., • Bachelors degree in computer science, statistics, engineering, or a related field, • 3+ years of experience as a Data Engineer, preferably in a large organization Interpersonal Mindset & Behaviors • Focused on agile delivery with a fail-fast, succeed early mindset and measurable outcomes, • Flexibility to changes in work direction as the project develops according to highest-priority business needs, • Strong work ethic; ability to work at an abstract level and gain consensus, • Exemplary organizational skills with attention to detail, access, and quality assurance, • Excellent communication and listening skills, collaborating closely with multidisciplinary team members, • Have a can do attitude and thrive on a test and learn mentality

Senior Full Stack/Data Engineering (C#/.Net, Angular, Azure Databricks, AI/ML) Pay rate: $50-55 per hour Employment status: W2 (We can only consider candidates that do not require sponsorship via W2 status with us - C2C H1B candidates cannot be considered right now Location: Irving, must be onsite Tues, Wed, Thursday Contract: 6+ months (chance to convert but not guaranteed) Looking for a Senior Full Stack & Data Engineering Developer - 3-7 years experience range is ideal. This role spans scalable data pipeline development, ML workflow enablement, and full‑stack (.NET + Angular) engineering in Azure. Core Responsibilities • Build and optimize data pipelines, ingestion, and transformation workflows (ADF, Databricks)., • Enable ML workflows: data prep, feature engineering, deployment support., • Develop full‑stack applications (Angular front end + .NET APIs + SQL backend)., • Collaborate with data scientists, architects, and product teams on end‑to‑end solutions., • Ensure data quality, performance, and security across platforms., • Troubleshoot production issues and support continuous improvement., • Contribute to architecture and technical decision‑making. Skill Mix Breakdown • Angular / Front‑End: 25%, • .NET / API / Backend: 25%, • Azure + Data Engineering (ADF, Databricks, Azure SQL): 35%, • ML / AI Exposure: 15% Required Skills • 3–5+ years with .NET, C#, APIs, and backend development., • Strong experience with Entity Framework, SQL/T‑SQL, and Databricks., • Proficient with Angular and Angular Material UI components., • Experience in Agile, CI, TDD environments., • Solid problem‑solving skills in distributed cloud systems., • Azure cloud experience (highly preferred). Preferred Skills • Experience building or optimizing machine learning models or AI workflows., • Familiarity with NLP/statistical approaches for solutioning., • Exposure to tools such as Python, R, SAS, SQL, MATLAB, Java., • TypeScript experience.

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [

Job Description Our Client Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs. By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: New York, NY Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance. * Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding. * Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data. * Build agents capable of operating natively on real-world audio inputs. * Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications. * Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions. * Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments. * Participate in continuous improvement of the ML infrastructure and processes for scalability and performance. Qualifications * Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. * 1-6 years of professional experience in ML engineering. * Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure (preferably AWS). * Strong understanding of data pipeline design, real-time inference, and model monitoring. * Excellent communication skills with the ability to engage directly with customers and stakeholders. Core Experience * Proven experience building and deploying ML models into production environments. * Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring. * Experience with audio-focused ML projects or similar domains involving unstructured data. * Proficiency in building scalable data pipelines for model training and evaluation. * Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.

Job Description • LOCATION: Downtown Dallas - Arts District, • SCHEDULE: Full Time | Afternoon shift: 3:00 pm - 11:00 pm. Weekend flexibility. ABOUT US Worth Ross Management Company is an award-winning industry leader, and a team of extraordinary people. We have the advantage of recruiting and retaining the best talent in the HOA management industry. Diversity and inclusion are the only paths that allows forward progress and our success as a company stems from that philosophy. ABOUT THE ROLE Requires a self-motivated, outgoing, detail-oriented, customer service and customer-focused individual. Welcomes all residents, guests, and vendors professionally and warmly. Controls access to the building through engaging with all persons entering the building, and checking-in those guests and vendors who need to. Has excellent interpersonal, communication, and organizational skills that allow them to work independently, and without direct supervision. These include multi-tasking, e-mailing, telephone etiquette, taking and communicating important messages, learning, and using resident, guest and vendor names and using them consistently. Identifying and organizing resources to provide a high level of personal service that is expected by our residents, their families, and other guests. WHAT YOU'LL DO • Communicates effectively and demonstrates good customer service skills to residents, guests, vendors and other staff members., • Identifies and clarifies the residents’ needs and desires. Answers questions and provides solutions., • Seeks the way to improve the services that we already provide, or possibly add additional services, by listening to resident comments, observing their usage, and making recommendations to management., • Assists residents in scheduling access for authorized vendors to provide services within units., • Maintains resident and guest privacy, and the organization's reputation, by always keeping information confidential., • Able to understand and react quickly and effectively to any emergency., • Responsible for maintaining a safe and secure work environment for all residents, guests and staff. Follows established safety guidelines and immediately reports all hazardous conditions or equipment safety issues to General Manager., • Enhances department and organizational reputation by accepting ownership for accomplishing new and different requests and exploring opportunities to add value to job accomplishments., • Accurately maintains daily shift notes into Building Link system., • Receives packages & deliveries and logs in Building Link system, organizes packages for delivery and delivers to residents as schedule permits., • Responds to resident concerns and complaints in a professional and caring manner. Follows up and tries to resolve all such concerns and complaints. Elevates issues to Lead Concierge or AGM if necessary/appropriate., • Manages resident relations to ensure a consistently high level of service, including timely and complete resolution of resident concerns and issues, and coordinating special services and requests., • Experience working as Concierge/Front desk at Hotel/Residential settings., • Strong customer service, communication, and interpersonal skills are required., • Effective written and verbal communicator. Multiple language fluency is desirable., • Able to operate a computer and be proficient in working knowledge of MS Office Programs (Office, Word, Excel) and e-mail., • Able to operate standard office equipment, including fax machine, copier, telephone, etc., • Able to be flexible and adapt to changing environments, make decisions in stressful situations and prioritize and reprioritize tasks and projects., • Highly motivated and able to work independently, • Performs other duties and responsibilities consistent with the position as assigned by the General Manager, Assistant General Manager, or Lead Concierge. PHYSICAL DEMANDS • Physical demands include the ability to lift 30-50lbs., • Ability to actively stand, walk, lift, and carry for extended periods of time., • Ability to work at a personal computer, as well as talking on the phone, for extended periods of time., • Ability to navigate the building quickly and easily as required to meet job functions., • Ability to detect auditory and/or visual emergency alarms and respond quickly and appropriately., • Ability to work extended/flexible hours, weekends, and holidays if required by coverage necessary for the building,, • Ability to respond to emergencies promptly., • Communicate, receive, and exchange ideas and information using both spoken and written word. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Benefits • Medical, • Dental, • Vision, • Short term disability (STD), • Long term disability (LTD), • Employee assistance program (EAP), • Identity theft protection, • Pet insurance, • Retirement, • Paid Time Off (PTO)

Job Description • LOCATION: Downtown Dallas - Arts District, • SCHEDULE: Full Time | Afternoon shift: 3:00 pm - 11:00 pm. Weekend flexibility., • SALARY: $18 - $20 hourly ABOUT US Worth Ross Management Company is an award-winning industry leader, and a team of extraordinary people. We have the advantage of recruiting and retaining the best talent in the HOA management industry. Diversity and inclusion are the only paths that allows forward progress and our success as a company stems from that philosophy. ABOUT THE ROLE Requires a self-motivated, outgoing, detail-oriented, customer service and customer-focused individual. Welcomes all residents, guests, and vendors professionally and warmly. Controls access to the building through engaging with all persons entering the building, and checking-in those guests and vendors who need to. Has excellent interpersonal, communication, and organizational skills that allow them to work independently, and without direct supervision. These include multi-tasking, e-mailing, telephone etiquette, taking and communicating important messages, learning, and using resident, guest and vendor names and using them consistently. Identifying and organizing resources to provide a high level of personal service that is expected by our residents, their families, and other guests. WHAT YOU'LL DO • Communicates effectively and demonstrates good customer service skills to residents, guests, vendors and other staff members., • Identifies and clarifies the residents’ needs and desires. Answers questions and provides solutions., • Seeks the way to improve the services that we already provide, or possibly add additional services, by listening to resident comments, observing their usage, and making recommendations to management., • Assists residents in scheduling access for authorized vendors to provide services within units., • Maintains resident and guest privacy, and the organization's reputation, by always keeping information confidential., • Able to understand and react quickly and effectively to any emergency., • Responsible for maintaining a safe and secure work environment for all residents, guests and staff. Follows established safety guidelines and immediately reports all hazardous conditions or equipment safety issues to General Manager., • Enhances department and organizational reputation by accepting ownership for accomplishing new and different requests and exploring opportunities to add value to job accomplishments., • Accurately maintains daily shift notes into Building Link system., • Receives packages & deliveries and logs in Building Link system, organizes packages for delivery and delivers to residents as schedule permits., • Responds to resident concerns and complaints in a professional and caring manner. Follows up and tries to resolve all such concerns and complaints. Elevates issues to Lead Concierge or AGM if necessary/appropriate., • Manages resident relations to ensure a consistently high level of service, including timely and complete resolution of resident concerns and issues, and coordinating special services and requests., • Experience working as Concierge/Front desk at Hotel/Residential settings., • Strong customer service, communication, and interpersonal skills are required., • Effective written and verbal communicator. Multiple language fluency is desirable., • Able to operate a computer and be proficient in working knowledge of MS Office Programs (Office, Word, Excel) and e-mail., • Able to operate standard office equipment, including fax machine, copier, telephone, etc., • Able to be flexible and adapt to changing environments, make decisions in stressful situations and prioritize and reprioritize tasks and projects., • Highly motivated and able to work independently, • Performs other duties and responsibilities consistent with the position as assigned by the General Manager, Assistant General Manager, or Lead Concierge. PHYSICAL DEMANDS • Physical demands include the ability to lift 30-50lbs., • Ability to actively stand, walk, lift, and carry for extended periods of time., • Ability to work at a personal computer, as well as talking on the phone, for extended periods of time., • Ability to navigate the building quickly and easily as required to meet job functions., • Ability to detect auditory and/or visual emergency alarms and respond quickly and appropriately., • Ability to work extended/flexible hours, weekends, and holidays if required by coverage necessary for the building,, • Ability to respond to emergencies promptly., • Communicate, receive, and exchange ideas and information using both spoken and written word. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.