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This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This role will support customers in the Augusta Georgia area. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs, • Providing technical guidance and troubleshooting support throughout project delivery, • Collaborating with stakeholders to gather requirements and propose effective migration strategies, • Acting as a trusted advisor to customers on industry trends and emerging technologies, • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. While this position is not attached to an Amazon Office, it is expected to work from customer sites at least 1+ days in a week. This is not a remote position. You are expected to be with customers as needed. BASIC QUALIFICATIONS- 3+ years of cloud architecture and solution implementation experience • Experience implementing AWS services in a variety of distributed computing environments, • Knowledge of AWS services, such as Elastic Compute Cloud (EC2), Elastic Block Storage (EBS), and Simple Storage Service (S3), • Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- 5+ years of IT implementation experience • degree in advanced technology, or AWS Professional level certification, • Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies, • Knowledge of compliance and security standards across the enterprise IT landscape, • Experience and technical expertise (design and implementation) in cloud computing technologies, • Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience, • Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, GA, Virtual Location - Georgia - 131,300.00 - 177,600.00 USD annually

Job Description5-10 Years This role is for someone with advanced data analysis skills and a firm grasp of the scientific method. Must be proficient in statistics and at least one programming language (typically R or Python). Responsibilities include data wrangling, data analysis, and data exploration. Should be familiar with a variety of Machine Learning algorithms and big data processing frameworks. In addition to building machine learning and other statistical models, will be expected to create data visualizations.

Job Description Job Summary: We are seeking a talented Data Scientist to support AI exploration and implementation to enhance our business operations. The ideal candidate will be responsible for identifying potential use cases for AI and leading efforts to build solutions for these use cases by leveraging machine learning algorithms and AI tools. As part of our leading-edge advanced analytics team, you will help drive analytics across the organization to improve customer experience and optimize operations. This is an individual contributor role, providing autonomy in technical and analytical choices, including determining the appropriate modeling techniques and making design decisions. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205-756-4834

Job DescriptionDescription: Tuesday - Friday 8:00am - 6:30pm Sunday - Thursday 9:00pm - 5:30am Saturday - Monday 7:30am - 8:00pm General Description: Production Packers are responsible for Packing orders. As a Production Packer, you will be responsible for matching a name on a packing slip to a name on a shipping label. You will also be responsible for matching the description of a product on a packing slip to the physical product. Quickbox is a fulfillment center and Packing is a main operation of our business. We are looking for team-oriented employees who are flexible and able to work on different clients and in different areas to fulfill the needs of the Company. Essential Duties & Job Functions: • Matching labels to packing slips., • Identifying correct products and quantities from Packing Slips and Master Pick Tickets., • Communicating with Managers, Leads, and Packers., • Learning through Constructive Criticism., • Meeting targeted Orders Per Hour (OPH) outlined by Production Management., • Able to come to work on time and one the days scheduled consistently, with few or no absences.Requirements: Job Qualifications Mandatory: 1) Literacy – Must be able to read. 2) Attention to detail. 3) Dexterity – able to use a tape gun and/or Tape machine. 4) Able to Stand and/or walk up to 10 hours a day. 5) Available to work up to 10 hours a day. Preferred Qualifications: 1) Simple Math – Adding, Subtracting, Multiplying, and Dividing. 2) Basic knowledge of the English Language. 3) High School Graduate Work Environment: 1) This is an Atlanta based position operating out a Warehouse environment • Warehouse Environmental Conditions are as follows; Moderate noise level in the work environment. Work environment is indoors. Warehouse temperatures may vary depending on outside temperatures. Physical Demands: • Sight: Must be able to see well enough to read product lot numbers and expiration dates, read reports, and use a computer., • Hearing: Must be able to hear well enough to communicate in person or via technology, and to hear warning signals of forklifts and warehouse equipment., • Standing: Must be able to stand for shift duration., • Walking: Must be able to walk without assistance to perform job duties., • Mobility: Must be able to be mobile to operate warehouse machinery., • Sitting: Must be able to sit for shift duration., • Stooping, Kneeling: Must be able to stoop or kneel for short periods of time., • Lifting: Must be able to lift 30 lbs – 50 lbs., • Hand Mobility: Must be able to have mobility in hands to open and seal packaging, utilize keyboard functions, and utilize phone systems. Contingencies: Any offer of employment will be contingent upon: 1) Satisfactory results of background and reference checks. 2) Proficiency testing in Microsoft Office applications. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.

Job DescriptionData Scientist (5–10 Years Experience)Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets. Key Responsibilities: 1. Data Analysis: Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights. Apply statistical techniques to derive meaningful information for business strategies. 1. Predictive Modeling: Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes. Utilize techniques such as regression analysis, classification, and clustering. 1. Data Visualization: Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn). Effectively communicate insights to both technical and non-technical stakeholders. 1. Hypothesis Testing: Formulate and test hypotheses to statistically validate business decisions and recommendations. 1. Feature Engineering: Engineer and select relevant features to optimize the performance of machine learning models. 1. Algorithm Development: Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks. 1. Data Integration: Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses. 1. Model Deployment: Deploy machine learning models into production environments to support real-time analytics and decision-making. 1. A/B Testing: Design and evaluate A/B tests to assess the impact of process or product changes. 1. Data Ethics: Ensure data handling practices meet ethical standards, including privacy and compliance with regulations. 1. Cross-functional Collaboration: Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 1. Mentorship: Provide guidance and mentorship to junior data scientists and analysts to support team development. 1. Continuous Learning: Stay updated on the latest data science tools, trends, and best practices through professional development. Qualifications: Education: Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). Master’s or Ph.D. is a plus. Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis. Programming Languages & Tools: Proficiency in Python, R, or Julia. Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn). Database Skills: Strong understanding of databases and SQL-based data manipulation. Additional Skills: Advanced problem-solving and critical thinking abilities. Strong communication skills for conveying technical findings to diverse audiences. Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus. Awareness of data ethics and regulatory compliance.

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Catastrophe Engineering and Analytics (CAT E&A) is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions. The Software Engineer within the CAT E&A team will play a crucial role in designing and developing end-to-end systems to deploy and run models. This role involves deep cross functional collaboration with business, product, and data science teams, while driving successful project outcomes. Not only will you focus on backend development, but another dimension to the role also demands some expertise with building data pipelines, data manipulation, and so forth. Duties & Responsibilities: • Collaborate closely with application engineers, data scientists, and stakeholders in building and maintaining existing software to support existing platforms., • Work with the team to help develop our technical platform to be more user-friendly and seamless, with an emphasis on bringing the various individual models together in a more uniform framework., • Understand and assist with the development of AI and machine learning related projects that are underway., • Contribute to the development, maintenance, and evolution of our platform., • Help drive technology and architecture decisions along with mentoring teammates., • Contribute to the design and architecture of scalable, reliable systems., • Write maintainable and well-tested code along with designing the system., • Build robust data pipelines, perform data analysis, and deploy models. Qualifications, Skills and Experience: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field is preferred., • Minimum three years of relevant experience in software engineering, data engineering, or ML engineering., • Strong problem-solving skills and ability to work independently., • Excellent communication and collaboration skills., • Proficiency in Python (Pandas, NumPy, or SciPy) or R is required., • Previous experience in building Batch or Streaming Data and ML pipelines is preferred., • Proficiency in building and working with APIs is preferred., • Exposure to GIS libraries, PostGIS, GDAL is preferred., • Experience with both streaming and batch processing of data is preferred., • Knowledge of Docker and Kubernetes is preferred. BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates, • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders, • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework Benefits that support your life and well-being, which include: • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization. The base salary range for this position in California is from $115,000 – $155,000 along with annual bonus eligibility; a candidate’s salary is determined by their relevant skills and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.

As a robotics professor, you will join a dedicated, award-winning faculty in the School of Creative Technology. You will play a key role in shaping a progressive curriculum and encourage interdisciplinary collaboration across SCAD locations, fostering connections with related disciplines such as industrial design, interaction design, animation, and immersive media. You will prepare talented students for rapidly evolving careers at the intersection of robotics, design, and human experience. You will do so through professional, positive, and engaging courses that cultivate curiosity and critical thinking, empowering students to explore emerging areas such as soft robotics, wearable systems, biomimicry, storytelling, and more. In this position, you will advocate for interdisciplinary collaboration and foster an environment that encourages diverse perspectives and innovation to create robotic systems that are functional, expressive, emotionally resonant, and socially responsive. Responsibilities include adherence to all duties and expectations outlined in the SCAD Faculty Handbook, which encompasses coursework preparation, syllabus design and approval, office hours, midterm grade reviews, and more. Among other responsibilities, you will provide students with extra help sessions, extended learning opportunities, and field trips outside of regular class hours. In this role, you will model professionalism, fulfill all grading and academic documentation requirements, and record attendance. You will assist with all academic assessment and institutional effectiveness efforts. Occasionally, you may support departmental and university-wide initiatives by attending both in-person and virtual events, such as faculty councils, admission activities, accreditation support, curriculum development, and exhibitions, among other duties. Professors must fulfill teaching assignments determined by contact hours as specified in the Employment Agreement. The ideal candidate is passionate about teaching in higher education and has in-depth understanding of robotics development, digital fabrication, physical fabrication, electronic design, design methodologies, and human-centered design principles. They are adept at guiding diverse groups of students and faculty and can provide students with a comprehensive, hands-on education that integrates both technical systems and design-driven inquiry. The candidate demonstrates project management, organization, and curriculum building skills to prepare students for real-world challenges. They also demonstrate an expertise in prototyping robotic systems digitally and physically, including electronics, sensors, actuators, and embedded systems. To succeed in this role, the candidate must be forward-thinking and can thrive in an environment that values collaboration, creativity, and experimentation. They possess a strong understanding of form, behavior, and interaction design. The candidate is also familiar with designing and developing interactive systems that communicate intent, personality, and meaning through movement, gesture, and form. They are also interested in speculative, critical, or future-oriented approaches to robotics and human-machine interaction. Minimum qualifications: • Terminal degree in robotics or a relevant field, • Academic and professional credentials to teach in robotics, • Two years of work experience in robotics, physical computing, or interactive systems development or post-secondary teaching experience, • Cross-disciplinary design experience or collaboration across industrial design, UX, animation, computation, or media arts, • Background in studio-based teaching, iterative prototyping, and experiential learning Travel required: • Less than 10% Required application documents: • Current résumé and/or CV, • Cover letter, • Portfolio demonstrating technical execution and design thinking, • Unofficial academic transcripts Work hours: As noted in the Employment Agreement. ADA tag: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements and minimum qualifications listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions and/or meet the minimum qualifications.

Senior P&C Insurance Data Scientist opening in Atlanta. Lead team of data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; collaborate with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI. Ideal candidate has 8+ years of Data Science/Predictive Modeling experience in a P&C insurance setting, including extensive background in Python, SQL, and Git. (PR13082)

Job ID: 525171 CRH is a leading global diversified building materials group, employing over 75,800 people at more than 3,160 locations in 29 countries. CRH is the leading building materials company in North America and the world. We manufacture and distribute a diverse range of superior building materials, products, and solutions, which are used extensively in construction projects of all sizes. Job Summary We are seeking a talented and experienced E Sourcing / Source to Contract Analyst based in Atlanta to support North American procurement teams. This role requires strong hands-on experience with SAP Ariba and Coupa Sourcing Optimization (CSO), along with a solid understanding of the end-to-end Source to Contract (S2C) process. The Specialist will collaborate with procurement teams across North America and regional category teams to support, advise, and guide the preparation, execution, evaluation and awarding of e-sourcing events (RFIs, RFPs, and e Auctions). This role also supports contract management best practices and is responsible for managing sourcing pipelines and monthly performance metrics using Tableau and QuickBase, ensuring compliance, data accuracy, and sourcing excellence. A strong understanding of emerging AI capabilities and their application within procurement is preferred, with the ability to identify opportunities to automate workflows and enhance user experience. Job Location This role is based at our corporate office in the Perimeter area of Atlanta, GA. Job Responsibilities • Manage end-to-end e sourcing events (RFIs, RFPs, RFQs, and e Auctions) from initiation through award recommendation using SAP Ariba and Coupa Sourcing Optimization (CSO)., • Partner with U.S.-based category managers, buyers, and stakeholders to define sourcing strategies, event structures, and evaluation criteria., • Configure, launch, and manage sourcing events, including supplier invitations, document management, bid structures, and timelines., • Provide hands-on support to suppliers through sourcing events, resolving system or process issues to ensure successful participation., • Monitor live events, perform bid analysis and scenario modeling in CSO, and support optimal, compliant award decisions., • Support the Source-to-Contract transition, including contract award documentation and alignment with contract management best practices within the contract lifecycle management tool., • Maintain accurate and compliant sourcing and contract documentation in accordance with procurement policies and audit requirements., • Develop and standardize sourcing templates, best practices, and continuous process improvements to increase efficiency., • Manage sourcing and contracting pipelines, ensuring projects are delivered on time and aligned with business priorities., • Prepare and distribute status updates, post-event summaries, and performance reports, leveraging reporting tools and dashboards (Tableau, QuickBase) as needed., • Train and support internal stakeholders and suppliers on e sourcing and contract management tools and processes. Job Requirements • Minimum of 3 years of hands-on experience with SAP Ariba Sourcing and Coupa Sourcing Optimization (CSO)., • Demonstrated expertise in designing, executing, and managing complex e sourcing events, including large-scale RFPs and dynamic e auctions., • Strong understanding of end-to-end strategic sourcing processes, from project intake and supplier engagement through contract award., • Advanced analytical capabilities, including bid evaluation, scenario modeling, and development of clear, data-driven recommendations., • Proven project management and organizational skills, with the ability to effectively manage multiple concurrent sourcing initiatives., • Ability to work independently while collaborating cross-functionally in a fast-paced, deadline-driven environment., • Excellent written and verbal communication skills in English, with the ability to engage effectively with U.S.-based stakeholders and suppliers., • Proficiency in Microsoft Excel, Word, PowerPoint, and Tableau., • Experience leveraging artificial intelligence (AI) or machine learning–enabled tools to optimize business processes, improve data-driven decision-making, and increase operational efficiency., • Experience supporting U.S.-based procurement organizations or Fortune 500 sourcing teams., • Solid understanding of common indirect and direct spend categories., • SAP Ariba and/or Coupa platform certifications preferred., • Experience with additional e-sourcing and contract management platforms (e.g., Ivalua, Jaggaer) is a plus. What CRH Offers You • Highly competitive base pay, • Comprehensive medical, dental and disability benefits programs, • Group retirement savings program, • Health and wellness programs, • An inclusive culture that values opportunity for growth, development, and internal promotion About CRH CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization. If you’re up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest! CRH is an Affirmative Action and Equal Opportunity Employer. EOE/Vet/Disability CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. AI tools may be used in certain stages of the employment lifecycle, such as candidate review; however, all final employment decisions will be made by a person.

Job Description Marpai Administrators (Subsidiary of Marpai Inc. (NASDAQ: MRAI)) is a technology company transforming the Third Party Administration sector serving employers with self-funded health plans. Marpai Administrators (Marpai) is an AI-powered national TPA (third party administrator) using deep learning and machine learning to maximize population health outcomes with the greatest cost efficiency for any health plan budget. We create healthier members and a healthier bottom line. Marpai proactively targets at-risk members with meaningful clinical interventions to improve outcomes. ABOUT THE POSITION: The Account Manager will work in a fast-paced, dynamic work environment working collaboratively with other departments and business partners requiring the ability to be adaptive, innovative and flexible with regards to our customers and clients. This position is responsible for providing account management service and consulting to all Marpai clients WHAT YOU WILL BE DOING: • Provide account management services and consulting to a book of business of Marpai clients, • Maintain positive relationship with customers, brokers, and consultants, and ensure satisfaction with Marpai services, monitor and maintain service level expectations, and perpetuate a best in class reputation., • Provide interpretation and recommendations related to reports that Marpai provides to customers on an ongoing basis., • Effectively renew business within their book of business., • Work with operations teams to resolve elevated service issues., • Remain current on trends and industry knowledge establishing self as subject matter expert, • Travel across the US to client/broker sites, as needed, • Other duties as required WHAT SUCCESS LOOKS LIKE: • Successfully manage and renew a book of business by delivering strategic, consultative account management and best-in-class client service, • High client satisfaction, strong renewal rates, on-time delivery of strategy plans and reporting, and effective management of client relationships., • Retained and expanded revenue, successful renewals, increased product adoption, and minimized escalations., • Strong cross-functional collaboration, accurate and timely CRM updates, proactive communication, and contribution to team best practices. WHAT DO YOU NEED: • Minimum 5 years of account management experience with results in the TPA or benefits industry, • Four-year college degree preferred or experience equivalent, • Active State Health agent license preferred, • Strong verbal and written communication skills to effectively and accurately execute duties, • Strong customer service and relationship skills to ensure timely response, effective resolution and build consensus, • Strong follow up skills leading to timely and effective completion of duties and resolution of tasks, • Superior organizational skills and attention to detail enabling efficient, effective and comprehensive solutions/resolution, • Flexibility in work schedule to meet demands of clients and colleagues as well as meet deadlines consistently, • Strong knowledge, understanding of broker and consultant channels and competitive market leading to success in those related channels., • Working knowledge and understanding of TPA operational functions, including Stop Loss, • Able to work independently in a fast-paced environment WORK REQUIREMENTS: • Fast paced, dynamic work environment requiring the ability to be adaptive, innovative and flexible, • In this role, expected to travel for client meetings, around the Country, as required WHY WORK AT MARPAI? We have great benefits: • Generous PTO, • Medical and Prescription, • Health and Wellness Programs, • EAP, • FSA / HSA / Dependent Care, • Dental, • Vision, • Life and Disability, • STD/LTD, • Voluntary Benefits: Critical Illness, Accident, Hospital, • 401k with Employer Match, • LegalShield, • Identity Theft Protection Marpai is an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. This is a remote position.

Job DescriptionThis position will help advance the Data Management and Data Analytics strategy by increasing our capabilities to deliver rapidly, efficiently while providing excellent value for the organization. The ML Engineer will work with stakeholders – both business and IT to be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. Your expertise will be critical in driving innovation and improving user experiences. Job Responsibilities: • Model Development: Collaborate with cross-functional teams to identify and understand business challenges and translate them into machine learning tasks. Design, build, and optimize machine learning models and algorithms for various applications., • Data Processing: Work with large datasets, cleaning and preprocessing them for model training and validation. Ensure data quality and integrity to enable accurate model predictions., • Environment Setup: Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or Scikit-learn, and cloud-based platforms like Azure., • Model Training and Evaluation: Implement machine learning experiments and conduct rigorous testing and evaluation to measure model performance and identify opportunities for improvement., • Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production environments and integrate them with existing systems., • Continuous Improvement: Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions., • Documentation and Communication: Document your work thoroughly, including model architectures, methodologies, and results. Present findings and insights to stakeholders in a clear and understandable manner. Technical Requirements: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field., • Proven experience in developing and deploying machine learning models and algorithms., • Strong proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)., • Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure)., • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques., • Ability to work effectively in a collaborative, cross-functional team environment., • Strong problem-solving skills and a passion for tackling complex challenges., • Excellent communication and presentation skills. Preferred Qualifications: • Experience with big data technologies such as Hadoop, Spark, or similar., • Knowledge of deep learning architectures and techniques., • Previous experience in natural language processing (NLP) or computer vision projects., • Understanding of version control systems like Git.

Orijin is on a mission to prepare every justice-impacted individual for sustainable employment. We are a Public Benefit Corporation (PBC) and certified B-Corporation, with a business model that never charges incarcerated individuals or their friends and families for its technology or services. (_ As a Senior Data Engineer at Orijin, you will be a technical leader responsible for building, scaling, and modernizing the company’s data platform. Your primary focus will be on data modeling, pipelines, architecture, reliability, and performance, ensuring that data is trusted, timely, and production-ready. You will partner closely with data analysts, engineers and product managers to shape how data is modeled and used. You will bring an analytical mindset to pipeline design and enable high-quality insights across the organization. You will ensure company-wide confidence in data quality and enable data-enabled differentiating products and services. Data Platform & Architecture Leadership • Design and evolve Orijin’s data architecture to support scalability, reliability, and near–real-time use cases., • Define standards for data modeling, orchestration, versioning, and deployment., • Lead efforts around data governance, security, lineage, and compliance in partnership with stakeholders., • Drive the transition toward modern data stack best practices (event-driven ingestion and streaming where appropriate). Data Engineering & Pipeline Ownership • Own the design, build, and maintenance of production-grade data pipelines across batch and streaming workloads., • Build systems that support:, • Monitoring, alerting, and observability for data pipelines., • Backfills re-runs, and safe rollbacks when failures or data issues occur., • High data quality and reliability through automated checks and validation., • Optimize pipelines for performance, cost efficiency, and scalability., • Lead the move toward near real-time data processing where it delivers business value. Tooling & Infrastructure • Architect and maintain data systems using tools such as:, • AWS (S3, RDS, Redshift, Lambda, DMS, Glue etc.), • Data orchestration and ETL tools like Airflow, Airbyte and dbt, • Improve CI/CD for data workflows, including testing, deployment, and environment management., • Evaluate and introduce new tooling for orchestration, monitoring, and data quality as the platform matures. ML & AI Enablement • Design build, and operate data and feature pipelines that support machine learning and AI-driven product features, including training, evaluation, inference, monitoring, and safe rollout to downstream systems., • Support vectorization and embedding workflows, including generation, storage, refresh, and backfill of embeddings., • Partner with team stakeholders to translate model requirements into scalable, reliable data systems., • Contribute to early experimentation and prototyping of ML-powered features. Analytics Enablement & Collaboration • Partner with analysts and product teams to ensure pipelines and data models support meaningful analysis and reporting., • Provide architectural input on metrics design, data models, and semantic layers., • Enable self-service analytics by ensuring clean, well-documented, and accessible datasets., • Basic proficiency in data visualization platforms with demonstrated ability to build and maintain data dashboards, • Contribute to exploratory analysis or metric definition when deeper engineering context is required. Efficiency & Reliability Focus • Continuously improve:, • Query performance, • Storage and compute costs, • Pipeline runtime and failure rates, • Lead incident response for data outages and quality issues, including root-cause analysis and permanent fixes., • Establish SLAs and reliability standards for critical data assets., • Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or equivalent work experience., • Expertise in the areas of data engineering, platform engineering, or backend engineering roles., • Proven experience designing and operating large-scale data pipelines and data platforms in production enviroments., • Strong proficiency in Python and SQL for data engineering workflows., • Hands-on experience with AWS data tools like Redshift, Lambda and Glue or equivalents; experience with data orchestration and ETL tools like Airflow, Airbyte and dbt in production enviroments., • Experience implementing monitoring, alerting, and data quality frameworks., • Familarity with streaming or near–real-time systems (e.g., Kafka, Kinesis, or similar) is a plus., • Hands on experience with PostgreSQL databases and NoSQL style databases like MongoDB, DynamoDB, etc., • Experience supporting machine learning or AI workflows (e.g., feature engineering, embedding pipelines, model inputs/outputs, embeddings, vector databases)., • Strong collaboration and communication skills - able to translate business and analytical needs into robust technical systems., • Experience with data governance, security, and compliance in regulated or sensitive-data environments. $120,000 - $127,000 a year Salary and Benefits • Orijin offers competitive compensation commensurate and a generous 100% employer-paid benefits package for you and your dependents., • Fully remote with option to work in person in NYC office., • Occasional travel as needed and the ability to work EST. Equal Opportunity Employer : Orijin is an Equal Opportunity Employer and firmly believes in creating a workplace that respects and values diversity of cultural, ethnic, and experiential backgrounds. We encourage all qualified applicants to apply. As an organization committed to the successful reentry of justice-involved persons, we strongly encourage candidates who share the life experiences of the citizens we serve to apply Disclaimer: The above statements are intended to describe the general nature and level of work being performed by the individual assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Job duties may change or new duties assigned at any time with or without noticeWe 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.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As the Engineering Manager of Collision Avoidance, you will lead a development team focused on preventing and mitigating safety-critical collision scenarios. This team develops models that tackle fundamental questions about how we can guarantee the high bar of safety for end-to-end systems, and enable configurability, interpretability, and validation at scale. These models play a significant role in enabling L2+, L3, and beyond, requiring innovation in both algorithms and validation strategies. We are looking for a system-oriented leader with cross-functional experience that is able to bring the worlds of machine learning, controls, and safety together. Key responsibilities: • Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed., • Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact., • Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages. This may include external engagements where necessary., • Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system., • Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities. In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience. Essential • Proven track record of managing engineering teams., • Solid understanding of machine learning fundamentals., • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables., • Track record of promoting software engineering best practices and excellence within the team., • Demonstrated ability to manage software engineers and grow their careers., • Good foundational coding knowledge and experience. Desirable • Experience with planning, control, and systems integration for autonomous vehicles., • Experience with performance evaluation of embodied AI systems., • Development experience in C++., • Experience with generative AI and simulation platforms., • Experience developing ML systems., • Knowledge of automotive safety regulations and their development processes. This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

At My Funded Futures, we’re transforming the world of proprietary trading by giving traders the capital, tools, and community they need to succeed. We blend innovation, transparency, and performance to create opportunity — helping traders scale faster and smarter. If you’re passionate about fintech, financial markets, and data-driven growth, you’ll fit right in. Explore our open roles below and see how you can help us shape the future of funded trading. Location: Remote / Hybrid Type: Full-Time Reports to: Director of Business Intelligence We're looking for an analytically strong, hands-on BI & Data Analyst with 3-5 years of experience turning data into decisions. In this role, you'll own our Power BI environment, work directly in Microsoft Fabric, and partner across the business to deliver reporting and insights that drive better decisions. MyFundedFutures (MFF) is a fast-growing futures evaluation and trading firm built for the next generation of global traders. We sit at the intersection of capital markets, technology, and risk, giving traders the tools, capital, and infrastructure to succeed. Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. The foundation is in place. Now we need someone to expand our Power BI ecosystem across the business and help strengthen a culture where decisions are backed by data. Data & Reporting • Own our Power BI environment end to end, including semantic models, DAX, and dashboards for executive leadership, risk, finance, operations, marketing, and support., • Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business., • Build scalable data models using star schema and fact/dimension design principles., • Deliver automated daily, weekly, and monthly reporting that gives teams timely, reliable access to key metrics. Analysis & Insights • Analyze trader behavior, including success rates, churn, risk signals, and anomalies., • Support pricing, product, and growth decisions through scenario modeling, sensitivity analysis, and financial performance reviews., • Identify early warning signals in risk and operational data before they become larger issues. Cross-Functional Partnership • Partner closely with the COO, Risk, Finance, Marketing, Product, and Support teams to translate business questions into analytical frameworks and actionable insights., • Act as a trusted internal partner who helps teams understand what is happening in their area of the business and why. Required • 3-5 years of experience in business intelligence, data analytics, or a related field., • Strong SQL skills, including complex queries, CTEs, window functions, and performance tuning., • Hands-on Power BI experience, including semantic models, DAX, and business-critical reporting., • Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation., • Strong data modeling fundamentals, including schema design, grain definition, and scalable reporting structures., • Experience with Microsoft Fabric or a comparable platform such as Azure Synapse, Data Factory, or Databricks., • Experience integrating data from APIs, webhooks, or third-party SaaS platforms. Nice to Have • Experience in capital markets, futures trading, prop firms, or brokerage operations., • Familiarity with drawdowns, leverage, volatility, and liquidation concepts., • Experience working with financial time-series data., • Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML and MLflow as that capability evolves., • You translate complex data into clear, practical narratives for non-technical stakeholders., • You work autonomously and are comfortable taking initiative in a fast-moving environment., • You bring a strong sense of ownership and follow through on problems from identification to resolution., • You are comfortable operating in ambiguity and can create structure when priorities are evolving., • You think critically and creatively, challenge assumptions, and look for better ways to solve problems., • Help shape how a high-growth trading firm makes decisions., • Work alongside experienced operators from capital markets, fintech, and trading technology., • Flexible work environment focused on outcomes and impact., • Competitive compensation and meaningful room to grow as the company scales. Equal Employment Opportunity My Funded Futures is an equal opportunity employer. We believe that diversity drives innovation and success. We are committed to building an inclusive environment where every team member feels valued, respected, and supported—regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic. In compliance with pay transparency laws, My Funded Futures provides compensation ranges in job postings where required. Final compensation may vary based on experience, qualifications, and location. We also offer comprehensive benefits and performance-based incentives. If you require assistance or an accommodation during the application process, please contact our HR team at _. Applicants must be authorized to work in the applicable country without employer sponsorship. The Company does not offer visa sponsorship or immigration assistance for this position.

Articulate is looking for a Senior Software Engineer to join our amazing Localization team! As a Senior Software Engineer at Articulate, you’ll work closely with a talented team of software engineers, machine learning engineers, and designers to build industry-leading products and solve interesting, complex problems. You’ll be responsible for large tasks and you’ll collaborate with engineering, product, and design to develop innovative solutions that leverage AI technology to create powerful transformative experiences for our users. • Build new features and enhance existing ones with an eye for quality, • Focus on customers and iterate quickly to bring them value, • Collaborate closely with engineers, designers and product leaders, • Mentor software engineers and review work constructively, • Participate in defining application architecture, • Participate in on-call rotation and level up our incident response process, • Be part of a growing remote-first company with a world-class culture, • A proven track record of implementing, shipping and maintaining production software, • A history of collaborative, team-based work with product and design partners, • Strong communication skills and the ability to clearly explain technical topics to both engineers and non-engineers, • 5+ years of experience working as a software engineer, • Proficiency with fullstack JavaScript/TypeScript technologies (React, , Postgres, Docker, ), • Ability to write clear, testable, and maintainable JavaScript/Typescript, • Experience collaborating across service boundaries and working with event-driven systems, • Comfort owning work with minimal oversight and navigating ambiguous problem spaces, • Familiarity with Git and GitHub-based development workflows, • A commitment to building accessible, inclusive user experiences, • AWS services (S3, SNS, SQS, etc.)Infrastructure as code tools (e.g., Terraform), • Building real-time collaborative editing features and conflict resolution, • Experience improving system reliability, observability, or performance, • Awareness of the ethical and responsible use of AI in software development, • Thoughtfulness around regional formatting, accessibility, and cultural considerations$137,700 - $182,426 a yearThe pay range for this position is $137,700 to $182,426 for all US locations. This range represents our good faith expectation of what we reasonably expect to pay for this role based on factors including (but not limited to) skills, experience, training, licensure and certifications, education, and other business and organizational needs.This position is bonus-eligible. Articulate also offers a robust suite of benefits — visit _ for a full list. This is a US-based role and can be performed remotely from anywhere within the United States. Occasional travel for company events may be required. Employees must physically reside and work within the US throughout their employment and must immediately notify Articulate of any change of address.About us Articulate Global, LLC, is the leading SaaS provider of creator platforms for online workplace training. Founded by Adam Schwartz in 2002, Articulate provides creator tools and services that make it simple for enterprises and SMBs to develop, deliver, and analyze online workplace training that’s engaging and effective. Increasingly, organizations must reskill employees for ever-changing remote and hybrid work environments, create learning cultures that attract and retain employees in a tight labor market, and use training to build more equitable, empowering, and engaging workplaces. Articulate helps organizations address these critical business needs with its creator platform for workplace training. Articulate 360—a suite of creator tools for online courses—was named the 7th most-loved product in the world by TrustRadius in 2021. And _—an all-in-one online training system that makes online training easy to create, enjoyable to take, and simple to manage—is the first creator platform for SMBs and departments within the enterprise. Articulate has more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. Named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a , Articulate is guided by a commitment to provide the best value to customers, do right by employees, and create an equitable, empowering workplace for all. As a human-centered organization, we honor people’s humanity knowing that each person’s unique history, vulnerabilities, and social location inform how we show up with one another. We embrace our connectedness, aware that what we do and say impacts others. We give each other grace because we are all works in progress, learning and evolving every day. And we take responsibility for ourselves and are serious about our accountability to each other. In all we do, we strive to create an equitable, sustainable, and empowering workplace while we drive results for the business and make a positive impact in the world. . Articulate Global, LLC is an Equal Employment Opportunity and Affirmative Action employer and complies with all applicable federal, state, and local fair employment practices laws. All employment decisions at Articulate are based on business needs, job requirements, and individual qualifications directly related to the job, without regard to any protected characteristic or class, including, but not limited to, race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. Qualified candidates with criminal histories will be considered for this role in a manner consistent with applicable law. Articulate is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation related to the application process due to a disability, you may contact us at . (For information about Articulate's privacy practices, please view our ) As an organization, we participate in _. 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 Title: AI Engineer Trainee Location: Remote in United States (EST Preferred) Type: Full-Time / Unpaid Trainee Program Company: FocusKPI Please submit your resume and a brief cover letter outlining your experience with relevant projects, coursework/work experience, and why youre interested in this role to _. We are excited to invite aspiring software engineers and AI enthusiasts to join our 3-month AI Trainee Program, designed to fast-track your skills in building and implementing AI solutions. This program provides hands-on experience with real-world projects, enabling you to enhance both your software engineering and AI expertise. Under the mentorship of our experienced team, youll refine your skills in designing scalable systems, deploying machine learning (ML) models, and building APIs. Exceptional performance during the program may lead to a paid internship opportunity, setting the stage for a promising career in AI and software development. This program is ideal for individuals passionate about AI and software engineering, particularly in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and software deployment. Youll gain practical experience in building and deploying machine learning models, integrating them into vector-based solutions, and creating robust software infrastructure for scalable applications. The program focuses on your growth, providing you with the tools and knowledge to succeed in the dynamic field of AI-driven software development. We welcome candidates with the following background: • Bachelors or Masters degree in Computer Science, Data Science, or related fields., • Interest and hands-on experience with NLP, RAG, and machine learning frameworks., • Proficiency in Python and API development using frameworks like FastAPI., • Strong problem-solving skills and a detail-oriented approach to software development., • Gain hands-on experience in designing and implementing NLP models for tasks such as text classification, sentiment analysis, and named entity recognition., • Learn and apply Retrieval-Augmented Generation (RAG) frameworks integrated with vector-based solutions to enhance system performance., • Build and maintain scalable APIs (e.g., using FastAPI) for real-world deployment of AI models., • Develop expertise in containerization tools like Docker to streamline deployment and scalability., • Gain practical experience in implementing CI/CD pipelines for automated testing, integration, and deployment to ensure reliable and efficient delivery of AI solutions., • Acquire practical knowledge in data preprocessing, feature extraction, and building robust data pipelines for large-scale applications., • Work on integrating ML models into end-to-end production systems, focusing on scalability and performance., • Strengthen your software engineering skills, with exposure to tools like Python, FastAPI, and cloud platforms (AWS, Google Cloud, Azure)., • Enhance your collaboration and documentation skills by working in a dynamic, remote team environment.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. _, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team: Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale. We are the team responsible for enabling the full ML experimentation process, from ideation, to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format. We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a Senior ML Engineer who can help us drive the future of autonomous freight. What You'll Do: You will work to build, maintain and improve our Torc ML frameworks including the following tools: • Cloud tooling, • Terraform, AWS Managed Services, EKS, Ray, • Data ops, • Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS, • ML Development pipeline, • Python, Ray, PyTorch, Lightning, Gymnasium, • Logging & aggregation, Experiment tracking, Model registry & lineage, • Visualization & dashboarding (e.g., tableau, voxel51, rerun) What You'll Need to Succeed: • Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience, • Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience, • You have built things with Ray and want to evangelize its usage, • You keep up with open-source software for machine learning at scale, • You have built ML solutions that have reached production, • You feel comfortable with the data science and ML iteration/lifecycle, • Ideal: You are familiar with model optimizations/compression for edge deployment, • You have familiarity with compute and data platforms, • You understand how to build ML systems that scale, • You want to build, maintain, grow, and improve our ML platform, • You know that a healthy software deployment requires mature software practices, • Ideal: You love to speak with users and help them reach their goals Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: A competitive compensation package that includes a bonus component and stock options 100% paid medical, dental, and vision premiums for full-time employees 401K plan with a 6% employer match Flexibility in schedule and generous paid vacation (available immediately after start date) AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Hiring Range for Job Opening US Pay Range $156,000 - $234,000 Job ID: 102397

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are seeking a Senior Developer to join our Growth Team, focused on building net-new self-serve experiences, evolving the underlying systems and integrations that power Product Growth, and driving rapid experimentation and feedback loops across our expanding B2B product suites. This is a remote opportunity within Canada and the US. What we're looking for: 5+ years of professional software development experience in a production SaaS environment. Strong experience building backend services in a modern language (e.g. Go, Node.js, Ruby, or Python). Deep experience with React and/or TypeScript in customer-facing web applications. Strong understanding of instrumentation, analytics, and defining meaningful success metrics. Ability to operate autonomously, drive initiatives forward, and influence technical direction. Strong collaboration skills and a growth mindset. What you can expect: Shape and evolve our experimentation platform (feature flags, instrumentation, data quality, reporting loops). Lead the design and implementation of experiments that drive activation, engagement, and expansion. Partner closely with product, design, and data to refine hypotheses, define measurable outcomes, and interpret results. Balance rapid iteration with long-term architectural health and security. Raise the bar for code quality, observability, and performance across the team. Mentor engineers through code reviews, technical design discussions, and pairing. Identify technical opportunities to unlock new growth mechanisms. See your work directly influence measurable customer and business outcomes. Bonus points for: Demonstrated experience leading or significantly contributing to experimentation-driven product development. Familiarity with analytics platforms (e.g., Amplitude, Looker, Qualtrics). Experience working in security- or compliance-sensitive domains. USA-based roles only: The annual base salary for this role is between $153,000 USD and $214,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $144,000 CAD and $202,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. 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: _ You will... • Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning., • Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system., • Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks., • Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications: • Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study., • 3+ years of experience developing solutions in ML systems or the ML software stack., • Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads., • Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference., • Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code., • Open-minded and collaborative team player with the willingness to help others. Bonus/nice to have: • Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models., • Experience working with large Vision-Language Models (VLMs) The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.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.

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE As a Solutions Architect on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way. We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. The impact you will have: • You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems., • Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts., • Continuously research & learn new technologies and their implementations on Databricks, • Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications, • Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers, • Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community., • Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions., • Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms. What we look for: • 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role, • Experience building distributed data systems, • Comfortable programming in, and debugging, Python and SQL, • Have built solutions with public cloud providers such as AWS, Azure, or GCP, • Expertise in one of the following:, • Data Engineering technologies (Ex: Spark, Hadoop, Kafka), • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow), • Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities., • Available to travel to customers in your region, • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research), • Nice to have: Databricks Certification NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Pivotal Health is the leading technology platform that helps healthcare providers get paid fairly in an increasingly complex reimbursement landscape. Today, many providers face persistent underpayment from health insurance companies, despite delivering high-quality care. While processes like IDR (Independent Dispute Resolution) were designed to promote fairness, they’re often administrative-heavy, time-consuming, and difficult to navigate without the right tools. Pivotal Health combines software, data, and service into a seamlessly integrated, AI-driven platform that simplifies these complex reimbursement workflows. We help providers efficiently dispute underpaid claims, reduce administrative burden, and recover the reimbursement they’re entitled to; without adding more work to already stretched teams. Our full-service IDR solution is just the starting point. We’re building solutions that enable providers to operate with clarity, control, and confidence across the reimbursement journey. Pivotal Health is investing in modern healthcare data infrastructure as a strategic capability. We are building a state-of-the-art healthcare data platform that ingests, processes, and organizes complex healthcare information into trusted data assets. This role will lead the design and development of foundational platform capabilities that ensure data is reliable, scalable, secure, and accessible across the organization. As a Staff Software Engineer focused on Data Warehouse infrastructure, you will architect the services, pipelines, and platform capabilities that power our healthcare data ecosystem. You'll work on ingestion frameworks, warehouse architecture, orchestration systems, metadata management, and data access patterns that enable both analytics and AI-driven applications. This is an opportunity for an engineer who enjoys building foundational platforms that become critical company infrastructure. You'll have significant influence over architecture, technology choices, and long-term platform strategy while working on meaningful problems in healthcare. Own warehouse platform architecture. Design and evolve the systems that support storage, transformation, governance, and access across clinical datasets. Build scalable data infrastructure. Develop a secure and compliant warehouse infrastructure. Healthcare-specific data modeling: Design and build clinical data models inside a scalable warehouse solution. Design warehouse optimization strategies. Create data models and storage approaches that balance performance, scalability, and maintainability. Establish data governance frameworks. Implement controls that ensure data quality, consistency, security, and auditability. Enable downstream analytics and AI workloads. Build infrastructure that supports reporting, evidence generation, and machine learning applications. Lead cross-functional technical initiatives. Partner with engineering, analytics, and product teams to align platform capabilities with business priorities. Improve platform observability and reliability. Build monitoring, alerting, and operational tooling that ensures trust in critical data systems. 8+ years building distributed software systems or large-scale data platforms. Experience in healthcare, health tech, or regulated data environments. Experience architecting modern cloud-based data warehouse solutions. Strong proficiency in backend engineering and platform development. Deep understanding of data modeling in a healthcare/clinical data setting, storage architecture, and data lifecycle management. Strong proficiency in Python and SQL, or similar backend languages. Proven track record in implementing zero trust PHI architectures. Experience designing systems that support both operational and analytical workloads. Track record of leading technical initiatives spanning multiple teams. Strong systems-thinking mindset with an ability to balance short-term execution and long-term scalability. Demonstrated ownership of critical infrastructure in high-growth environments. Experience with Snowflake, Databricks, BigQuery, Redshift, or similar platforms. Familiarity with AI and machine learning data platform requirements. We’re a collaborative, low-ego team on a mission to make healthcare reimbursement fairer for providers. While we primarily hire around our core hubs–Los Angeles and New York–we remain open to exceptional talent outside those regions. Remote and hybrid flexibility varies by role and team, and is outlined in each job description. If you’re excited by solving complex problems and making a real-world impact, we’d love to hear from you. Benefits Include: Competitive compensation, including equity Full health, dental, and vision coverage Retirement savings plan through 401(k) Flexible time off Opportunities for company-wide connection and events Ready to Make an Impact? We’re building something meaningful; and we want you on the team. Bring your ideas, curiosity, and drive, and let’s transform healthcare reimbursement together. Work Authorization Candidates must be authorized to work in the United States without current or future employer sponsorship. Equal Employment Opportunity Pivotal Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other legally protected status. Reasonable Accommodations Pivotal Health provides reasonable accommodations for qualified individuals with disabilities in accordance with applicable laws. If you need assistance during the application or interview process, please let us know. Background Checks Employment is contingent upon successful completion of applicable background checks, where permitted by law. At-Will Employment Employment with Pivotal Health is at-will and may be terminated by either party at any time, with or without cause or notice, in accordance with applicable law.

We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and recognized as a 2024 BCTIA Growth Award winner, we are on a mission to redefine the future of AI-driven robotic vision systems. Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera’s software have 4D Vision – the ability to see and handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing. Role Overview The Business Development Manager will play a pivotal role in expanding Apera AI’s market presence in the manufacturing automation sector. This role focuses on identifying and closing new business opportunities, nurturing existing client relationships, and collaborating with internal technical teams to deliver cutting-edge solutions. Success requires strategic hunting for new customers, executing comprehensive sales strategies, and consistently surpassing aggressive revenue targets. Working remotely, the Business Development Manager will engage with clients ranging from end users to OEMs, integrators, and channel partners. This role also demands proactive integration of AI-driven tools and systems to streamline client interactions and sales processes. Employee Value Proposition (EVP) Purpose: Contribute to Apera AI’s rapid growth by driving business expansion in the automation sector, leveraging innovative solutions, and engaging with a network of industry leaders. Growth: Join a fast-growing company with ample opportunities for professional advancement, leadership, and personal development, supported by competitive compensation and stock options. Motivators: Thrive in a remote role offering autonomy, creativity, and impact, where your success will directly influence the company’s growth trajectory and culture. 1. Acquire and close new business opportunities in automation and manufacturing Within the first 6–12 months, identify and engage new qualified clients, progressing each through the sales cycle to close. Leverage our Sales Tech Stack and AI-driven lead generation tools to enhance prospecting efficiency and ensure timely follow-ups. Deliver your assigned revenue targets while maintaining profitability margins. 1. Expand existing client relationships to drive revenue growth Within 9–12 months, expand business with existing clients by identifying new needs. Collaborate with the applications team to craft tailored solutions that meet client requirements. Utilize CRM and AI analytics to track client engagement and anticipate renewal and upsell opportunities. 1. Lead and execute high-impact sales strategies aligned with company goals Within the first year, design and implement sales plans that align with corporate revenue targets and market priorities. Build partnerships with OEMs, integrators, and distribution channels. Deliver quarterly updates to the leadership team, showcasing KPIs such as revenue progress, win rates, and pipeline growth. 1. Conduct a comprehensive market analysis within the first 60 days Identify market segments, competitors, and key stakeholders in the target territory. Use our CRM and AI tools to analyze trends, customer preferences, and emerging needs in the manufacturing automation space. Provide actionable insights to inform sales strategy. 1. Implement a 30-60-90 day sales execution plan Establish a structured action plan covering client engagement, lead conversion, and sales pipeline development. Include SMART goals for prospecting calls, follow-ups, and client meetings to ensure rapid integration and early revenue impact. 1. Collaborate with technical teams to deliver customized client solutions Within the first 3 months, coordinate with stakeholders and SMEs to design proposals and presentations tailored to client requirements. Ensure technical validation and seamless handoffs post-sale, leveraging digital collaboration platforms to optimize client interactions. 1. Lead project management efforts for major client engagements For each significant sale, manage end-to-end project implementation, ensuring alignment with client expectations and timely delivery. Develop detailed project plans, coordinate resources, and provide regular status updates. 1. Drive strategic growth initiatives for Apera AI’s market presence Within 12 months, launch at least one strategic initiative, such as establishing a new partnership, entering an untapped market segment, or leading a promotional campaign. Deliver measurable outcomes like new leads, market share gains, and revenue contributions. 1. Manage customer satisfaction and resolve complex challenges Respond swiftly to client issues, identify root causes, and implement solutions. Track client satisfaction through feedback loops and surveys to ensure long-term loyalty and referral opportunities. 1. Continuously Evaluate and Integrate AI to Improve Performance Within the first 90–180 days, identify how AI and automation tools can enhance sales processes and client engagement. Lead pilot programs, collaborate with the IT and marketing teams, and develop an ongoing AI integration roadmap for the sales function. Required qualifications: • 3+ years of previous sales experience building relationships and expanding a client base., • Demonstrated experience developing and leading a sales project within your team., • Track record of meeting and exceeding sales goals., • Bachelor’s degree or equivalent in an engineering or technical field, or a background in technical sales with a non-technical degree., • Experience in the manufacturing automation field. Preferred: • You are recognized as highly skilled at sales acumen on your team., • Can demonstrate how you positively impact company culture and build trust., • Experience selling robotics, vision systems, complex products. Apera AI fosters a fast-paced, innovative environment where autonomy, resilience, and creativity are essential. The Business Development Manager must thrive in a remote setting, embracing digital collaboration tools and maintaining high engagement with both internal teams and external partners. The company values a culture of trust, continuous learning, and embracing technology to drive results. Working closely with visionary leaders, the ideal candidate will help build a collaborative, client-centric, and results-oriented culture. What Apera AI offers: • Very competitive compensation consisting of salary plus commission., • 401(k) plan, • Participation in the employee stock option plan, • Health, dental and vision insurance, • A career track with many growth opportunities at a fast-growing company., • A creative work environment alongside an ambitious and talented team

At NerdWallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do. A highly skilled and experienced Staff Product Manager leads the development and enhancement of personalized and data driven products in the credit cards, lending, and wealth management verticals. The ideal candidate will have a deep understanding of the fintech landscape, particularly in managing products related to financial services, consumer credit, and investment products. This role is strategic and cross-functional, requiring leadership across product development, business strategy, and customer experience. You are a strategic member of the team who has a deep understanding of consumer insights and can use these insights to drive product innovation and personalization for our consumers. You are a strong collaborator who enjoys working with multiple stakeholders to ensure seamless execution of product initiatives. You excel at market analysis, project management and performance monitoring to ensure that you are delivering strong business results. You are a strong communicator and know how to articulate business objectives and consumer needs to peers at all levels. This role reports to the VP, Data & Analytics. Own the product roadmap for emerging growth projects that leverage data and partner integrations to deliver personalized credit cards, lending, and wealth management solutions, aligning with the overall company vision. Define and drive the strategy to build competitive and innovative financial products that address customer needs in credit, lending and wealth management. Conduct market analysis and competitive research to identify trends, customer pain points, and opportunities for product growth. Ensure that products are relevant and valuable to the target audience with a deep understanding of the financial profiles, goals, and challenges of expected consumers to drive product innovation and personalization. Own product integrations with third party partners such as credit bureaus and NerdWallet clients. Seamlessly execute on roadmaps for successful product launches and updates by partnering with data, engineering, marketing, and editorial teams to create and implement product roadmaps. Lead product development projects from concept to launch, including defining requirements, setting timelines, and coordinating with stakeholders. Live in the numbers: monitor and analyze product performance metrics, implement A/B tests and other optimization strategies to improve user engagement and conversion rates. Stand in the shoes of our consumer: empathize with the audience we are building for and always bring consumer insight to the table. Mentor and develop team members, fostering a culture of continuous improvement and innovation to ensure long-term success. Experience: Minimum of 10 years in product management, preferably in a consumer internet or financial technology company. Leadership: Proven track record of leading products to success and driving significant business outcomes. Strong ability to influence and build relationships across all levels of the organization. Analytical Skills: Proficient in using data analytics tools to derive actionable insights. Experience with A/B testing, SEO, and performance marketing is a plus. Technical Understanding: Ability to work closely with engineering teams and understand technical concepts. Experience driving product integrations with third party APIs. Experience with data science and machine learning is a plus. Consumer-first Mindset: Passionate about creating intuitive, delightful, and valuable product experiences for consumers. Communication: Excellent verbal and written communication skills. Ability to clearly articulate product ideas and strategies to both technical and non-technical audiences. Preferred Qualifications: Experience working in fintech or financial services industry, particularly within the credit cards and wealth management sectors. Experience with regulatory frameworks related to consumer finance and investment products. This role will be remote (based in the U.S.). We believe great work can be done anywhere. No matter where you are based, NerdWallet offers benefits and perks to support the physical, financial, and emotional well being of you and your family. Work Hard, Stay Balanced (Life’s a series of balancing acts, eh?) Industry-leading medical, dental, and vision health care plans for employees and their dependents Rejuvenation Policy – Flexible Vacation Time Off + 11 holidays + holiday company shutdown New Parent Leave for employees with a newborn child or a child placed with them for adoption or foster care Mental health support Paid sabbatical after 5 years for Nerds to recharge, gain knowledge, and pursue their interests Health and Dependent Care FSA and HSA Plan with monthly NerdWallet contribution Monthly Wellness Stipend, Cell Phone Stipend, and Wifi Stipend (Only remote Nerds are eligible for the Wifi Stipend) Work from home equipment stipend and co-working space subsidy (Only remote Nerds are eligible for these stipends) Have Some Fun! (Nerds are fun, too) Nerd-led group initiatives – Employee Resource Groups for Parents, Diversity, and Inclusion, Women, LGBTQIA, and other communities Hackathons and team events across all teams and departments Company-wide events like NerdLove (employee appreciation) and our annual Charity Auction Our Nerds love to make an impact by paying it forward – Take 8 hours of volunteer time off per quarter and donate to your favorite causes with a company match Plan for your future (And when you retire on your island, remember the little people) 401K with 4% company match Be the first to test and benefit from our new financial products and tools Financial wellness, guidance, and unlimited access to a Certified Financial Planner (CFP) through Northstar Disability and Life Insurance with employer-paid premiums If you are based in California, we encourage you to read this important information for California residents linked_. NerdWallet is committed to pursuing and hiring a diverse workforce and is proud to be an equal opportunity employer. We prohibit discrimination and harassment on the basis of any characteristic protected by applicable federal, state, or local law, so all qualified applicants will receive consideration for employment. NerdWallet will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and the San Francisco Fair Chance Act, which requires this, as well as the Los Angeles Fair Chance Act, which requires this. NerdWallet participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program for all US locations. For more information, please see: E-Verify Participation Poster_) Right to Work Poster / #LI-Remote

We are seeking a skilled and experienced Senior Data Engineer to join our innovative team. The ideal candidate will bring deep expertise in modern data engineering technologies, strong collaboration skills, and a solid understanding of the financial services sector. Beyond building scalable pipelines, this role will play a critical part in supporting Data Science initiatives—especially around feature engineering and preparing high-quality datasets for advanced analytics and machine learning. If you thrive in a collaborative, agile environment and excel at enabling research through robust data platforms, we’d love to hear from you. • Design, build, and maintain scalable data platforms and pipelines using technologies like Python, Airflow, Snowflake, and AWS (S3, Glue, Athena, EMR, SageMaker), ensuring performant, reliable, and high-quality delivery., • Partner closely with Data Scientists to transform raw data into curated, model-ready features, and establish practices such as feature stores to support consistency, reuse, and experimentation., • Apply data quality, lineage, and governance practices to ensure datasets and features are trusted, reproducible, and well-documented., • Collaborate with stakeholders across business, research, and technology teams to align on requirements, priorities, and outcomes., • Produce clear technical documentation, including artifacts for testing, training, and delivery., • 8+ years of experience delivering data-centric platforms with large datasets, fast SLAs, and high data quality standards., • Advanced proficiency in Python, including data processing libraries (e.g., Pandas, PySpark)., • Strong hands-on experience with AWS data stack (S3, Glue, Athena, EMR, SageMaker) as well as orchestration and warehousing tools like Airflow and Snowflake., • Proven track record building pipelines that support Data Science workflows, including feature engineering and model-ready datasets., • Solid end-to-end development process experience, including CI/CD, automated deployments, code reviews, and delivering high-quality, production-ready code., • Strong problem-solving skills with the ability to debug complex issues and optimize performance., • Excellent interpersonal and organizational skills, with the ability to work collaboratively across Data Science, Engineering, and Business teams.Why Lab49? Lab49 is an established partner for most financial institutions on Wall Street. You will gain exposure into a variety of environments, business domains, technologies, and people. Your ability to bring drive and creativity to the role will be the key component to success at Lab49. The broad and intense exposure to a variety of challenges accelerates your career growth, and Lab49’s structure is designed to enable you to learn and grow as an engineer and consultant. Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business. Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.

We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there. For more information, visit _. Why This Role Is Important to Arcadia Healthcare is entering a new era where AI can fundamentally transform how organizations understand populations, improve outcomes, reduce administrative burden, and deliver better experiences for patients and providers. Arcadia is uniquely positioned at the intersection of healthcare data, analytics, and workflow intelligence to bring these capabilities to market. We are looking for a Principal Product Manager, AI Products to help define and deliver the next generation of AI-powered healthcare solutions. This leader will own critical product investments that leverage generative AI, advanced analytics, and intelligent automation to solve meaningful customer problems and create measurable business value. Principal Product Managers at Arcadia are builders, operators, and end-to-end owners. They combine deep customer understanding, strong technical fluency, and relentless execution to bring innovative products from concept to customer adoption. They operate with significant autonomy, influence company strategy through product outcomes, and are accountable for delivering enterprise-grade capabilities that customers trust and depend on. This role is ideal for product leaders who thrive in fast-moving environments, can translate emerging AI technologies into real-world customer value, and are energized by shipping products rather than managing process. Success is measured by products delivered, customer outcomes achieved, business impact created, and the ability to establish yourself as a trusted expert with customers and cross-functional partners. What Success Looks Like In 3 months • Develop working expertise in Arcadia’s platform architecture, customer workflows, AI strategy, and data ecosystem, • Identify and prioritize high-impact product opportunities within assigned domain ownership, • Ship at least one meaningful customer-facing enhancement or production capability, • Demonstrate the ability to independently navigate ambiguity and drive product decisions to execution In 6 months • Deliver multiple enterprise-grade AI-enabled product capabilities into production, • Establish a track record of measurable customer adoption and business impact, • Become the recognized product owner and domain expert for assigned product areas, • Demonstrate consistent execution against roadmap commitments In 12 months • Own a portfolio of AI-powered product capabilities delivering measurable customer and business outcomes, • Lead major product initiatives that drive growth, operational leverage, customer retention, or market differentiation, • Influence Arcadia’s long-term AI product strategy through successful execution and demonstrated results, • Be recognized as one of the organization’s strongest product builders and operators, • Own the end-to-end lifecycle of AI-powered product capabilities from concept through customer adoption and measurable business impact, • Deliver enterprise-grade generative AI products and workflow automation capabilities into production environments at scale, • Work directly with customers to understand operational challenges, validate product direction, and ensure solutions address real-world healthcare workflows, • Translate advances in AI, LLMs, agentic systems, retrieval architectures, and analytics into practical customer solutions, • Partner closely with Engineering, Data Science, Customer Success, and GTM teams to ensure products are successfully adopted and deliver measurable value, • Drive roadmap decisions using customer needs, technical realities, business objectives, and market opportunities, • Own product success metrics tied to customer adoption, revenue growth, operational efficiency, and business outcomes, • Act as the accountable owner for shipping high-quality products on a predictable cadence, • Mentor and elevate product management practices across the broader Product organization Education • Bachelor’s degree required; advanced degree in business, computer science, engineering, healthcare, data science, AI/ML, or a related field preferred Experience • 12+ years in enterprise SaaS, platform products, AI-enabled products, data products, or similarly complex technical environments; bonus if experience includes healthcare environments, • Experience building and scaling enterprise-grade AI, machine learning, or generative AI products, • Experience delivering products powered by LLMs, agentic systems, retrieval-augmented generation (RAG), intelligent automation, predictive analytics, or similar AI technologies, • Proven track record shipping products used by enterprise customers at scale, • Experience defining and delivering products tied to measurable business outcomes and revenue impact, • Experience owning products with measurable commercial outcomes, including adoption, retention, growth, or revenue objectives, • Demonstrable understanding of how product decisions connect to business performance and customer value realization, • Experience partnering closely with Engineering and GTM organizations to successfully bring products to market Technical Fluency • Strong technical fluency across modern AI systems, including generative AI, LLMs, retrieval architectures (RAG), intelligent automation, model evaluation, and AI governance, • Ability to engage deeply with engineering teams on architecture, implementation tradeoffs, and production deployment decisions Qualities • Highly autonomous operator with strong ownership mentality and executive presence, • Collaborative leader capable of influencing across Product, Engineering, Analytics, and Executive teams, • Demonstrated ability to create clarity, structure, and momentum in ambiguous problem spaces, • Practiced in building new products, processes, and operating models from the ground up, • Strong ownership orientation with a bias toward action and execution Skills • Exceptional product strategy, prioritization, communication, and execution leadership, • Strong analytical and technical fluency, including ability to navigate complex platform and AI-enabled product discussions, • Ability to translate customer, operational, and business needs into scalable product direction and measurable outcomes, • The opportunity to shape the future of AI-enabled healthcare products and platform innovation at scale, • Significant influence over strategic product direction, organizational maturity, and next-generation customer experiences, • The opportunity to solve some of healthcare’s most complex operational, clinical, and data challenges alongside exceptionally talented cross-functional teams, • A highly visible role with meaningful executive partnership and organizational impact, • The ability to help define how AI, automation, analytics, and workflow transformation reshape healthcare delivery and operations, • Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care, • A flexible, remote friendly company with personality and heart, • Employee driven programs and initiatives for personal and professional development, • Become a member of the talented, energized, diverse and purpose-driven Arcadian Community $180,000 - $220,000 a yearAbout Arcadia helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our . Protect YourselfIf you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our _. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.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.

About Legion Let’s be real, AI isn’t magic; Legion was built to move beyond AI hype—delivering secure, reliable systems that work alongside the people tackling the world’s most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don’t replace workflows—we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we’re building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We’re looking for bold thinkers and doers to join us in shaping the future of AI that’s secure, grounded, and built to work. Role Responsibilities • Advocate For Customers: Act as the voice of the customer within the organization, advocating for customer needs and requirements to the product team., • Manage Customer Requirements: Serve as project manager for any new feature development for the user as well as for deploying the Legion platform for a given customer., • Be a Legion Expert: Develop hands-on technical knowledge of Legion’s product and feature capabilities so that you can ensure our customers are using Legion in the way that’s best for their team., • Lead Customer Onboarding: Train customers on how to use the platform, including training administrative users and champions on how to enable their team members’ success., • Demonstrate Value: Work with customers to understand what really matters to them and their leadership and demonstrate the way that Legion meets that need qualitatively and quantitatively., • Build High-Quality Relationships: Develop relationships with multiple levels of customer stakeholders - everyone from end users, to security engineers to CISOs., • Ensure Renewals: Work closely with the sales teams to identify the best path to renew and expand customers while minimizing churn risks., • Provide Feedback: Proactively gather customer feedback and insights through surveys, interviews, and data analysis, and relay this information to our engineering team., • Manage Issues: Collaborate with engineering to ensure timely resolution to customer issues and maintain consistent communication with our customers. Required Qualifications • SECRET or TS/SCI Security Clearance., • Significant experience as a CSM or AM working with the government. Our team is lean and requires someone who is able to thrive in the federal space without significant guidance., • Willingness to travel. You will need to be onsite with our customers frequently. Most of them will be on the East Coast., • Experience with a technical product. You’ll need to have worked with a highly-technical product in the past. Legion is a Generative AI product and the technology itself is highly complex. While our users can be anyone at an enterprise, the decision-makers involved in bringing Legion to their company (e.g., CTOs, CIOs) are often quite technical and you will need to be able to comfortably communicate with them. Exceptional communication skills. You represent Legion to the customer, and you represent the customer to Legion. Effectively communicating in both directions is paramount and critical to the success of both the customer and Legion. • Proven ability to collaborate. You can work effectively with cross-functional teams, including sales, product, and/or engineering to articulate customer needs and develop new platform capabilities to meet them., • Understanding of AI technologies. You understand machine learning concepts and their applications in real-world scenarios and can communicate them to customers of varying levels of technical backgrounds. Preferred Qualifications • Experience working at a startup. Legion is early-stage and that means there’s a lot of things that aren’t figured out yet. You’ll need to be comfortable with operating in that kind of environment., • Technical background. You have some experience building tools for project management (e.g., using Excel, SQL, Python, etc.) or developing your own applications for this or other purposes. Location + Travel This is a remote position, but it will require consistent travel - primarily on the Eastern seaboard. Being located in or near DC, Tampa, or Fayetteville NC is not required, but it’s a plus. Equal Opportunity Statement Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Compensation Information $150,000 - $230,000 USD

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective. With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments. As a Senior User Experience (UX) Designer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the direction of the company. You’re right for this opportunity if you enjoy driving the evolution of our user experience across platform and products. You will work closely with our product management, engineering, and data science teams to design and implement user-centered solutions that make sophisticated machine learning workflows intuitive and productive for the experts who depend on them. Your day-to-day will include: • Collaborating cross-functionally with product management, engineering, and data science teams to understand user needs, define user flows, and communicate design decisions that shape product strategy, • Conducting user interviews, usability testing, and feedback analysis to drive rapid, iterative design improvements that identify pain points and validate assumptions, • Developing wireframes, prototypes, and high-fidelity designs in Figma; synthesizing market research and product strategy to deliver seamless end-to-end user experiences, • Owning and evolving the design system as a shared language across product, design, and engineering—enabling faster and more consistent collaboration throughout the product development life cycle, • Driving the integration of AI-assisted design workflows into how the team works, and nurturing a user-centric culture that values experimentation and continuous improvement This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results. Here’s what we’re looking for: • Bachelor’s or master’s degree in UX design, HCI, or related field and 6+ years of relevant experience, • Portfolio that demonstrates not just craft but systems thinking and strategic impact—showing how your work shaped product direction, not just product appearance, • Deep proficiency with Figma, • Demonstrated ability to drive alignment across product, engineering, and design teams without direct authority, • Eager to work at the frontier of AI-assisted design—experimenting with and helping to evolve how agentic tools shape the way products are designed and built, • Proactive, self-directed, and energized by ambiguity—someone who moves toward open problems rather than waiting for them to be defined, • Motivated by work that matters—Striveworks serves organizations where the quality of decisions has real consequences, • Due to the nature of this role, candidates must be a US person (a US citizen, a US national, or a Green Card holder) We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of: • Experience designing for data-dense or technical interfaces (such as dashboards, monitoring tools, or developer tools), where managing complexity and maintaining clarity are central design challenges, • Experience with machine learning or data science concepts The anticipated base pay range for this position is $160,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses. • Medical/dental/vision insurance, • Voluntary life, long-term disability, accident, and hospital indemnity insurance, • HSA and FSA (including dependent care FSA) plans, • 401(k) plan, • Unlimited PTO, • Paid parental leave Check us out on _! Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind. If you require assistance or a reasonable accommodation in the application process, please contact Operations at _. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire. Striveworks is a participating employer in the E-Verify program.

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Director, Banking and Payments IT M&A – Due Diligence, Integration and Separation – Strategy to join our _ practice. Responsibilities: • Lead and oversee comprehensive Buy-Side and Sell-Sideassessments across critical IT domains for potential client acquisitions, witha focus on banking / payments platforms and ecosystems; identify key IT risks,opportunities, and investments needed, and deliver executive-level duediligence reports with strategic recommendations, • Direct IT integration andseparation initiatives from planning through execution for banking andpayments-related transactions, including retail and commercial banking,merchant acquiring, issuing, processing, and digital payments capabilities;oversee development of IT current state assessments, entanglementidentification, operating model definitions, synergies, and Day one andpost-close plans. Platforms include Fiserv, FIS, Thought Machine and understanding of the data landscape in banking (e.g., Customer360, familiarity with key data platforms such as Snowflake, Databricks etc.), • Develop and executego-to-market strategies for Technology Mergers and Acquisitions offerings focused on payments,fintech enablement, platform modernization, and ecosystem integration; providethought leadership on banking and payments technology architectures, includingcard networks, core banking platforms, fraud platforms, and modern cloud-nativebanking /payment stacks, • Establish and manage program governance frameworks,ensuring rigorous oversight of execution across complex, multi-vendor paymentsenvironments; lead development of governance work products including statusreporting, risk management, and issue tracking; implement AI-powered tools forpredictive analytics on project timelines and risks and collaborate with seniorcross-functional teams to identify technology dependencies, risks, andopportunities across payments operations, product, risk, and compliancefunctions, • Lead strategic discussions andpresentations with executive IT and business stakeholders, including CIOs,CTOs, and payments product leaders, • Manage efforts to mentor and develop junior staff, fosteringdeep payments technology expertise, delivery excellence across the team, anda culture of innovation with a focus on leveraging AI and other emergingtechnologies, • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: • Minimum eight years of recent experience in technology/businessconsulting and/or technology leadership, with a proven track record of leadingIT transformations and advising on complex Mergers and Acquisitions transactions, • Master's of Business Administration degree from an accredited college or university is preferred; Minimum of a Bachelor's degree in Information Systems, Computer Science, Finance, or a related field is required, • Demonstrated success in leading high-impact IT-focused Mergers and Acquisitions projects with expertise in at least three of the following: systemintegration/separation, platform migration, IT architecture modernization,outsourcing of IT operations, or regulatory technology implementation; advancedprogram management skills, with the capacity to oversee large, complex projectsand deliver strategic insights to executive audiences; familiaritywith leveraging AI-powered platforms for due diligence, synergy analysis, andintegration/separation planning is a significant plus, • Proven track record leading complex technology Mergers and Acquisitions engagements (pre- and post-deal) within the Financial Services industry,covering banking / payments sectors; in-depth knowledge of the technology andregulatory landscape specific to Financial Services, including experience withcore banking/payments platforms and the IT implications of regulatory rules and changes, • Comprehensive understanding of IT best practices andenterprise IT ecosystems, including major ERP and business applicationplatforms, IT solutions, systems, infrastructure, and cybersecurity, • Strong strategic thinking and leadershipabilities with experience developing and executing IT strategies that alignwith business objectives; experience developing and executing go-to-marketstrategies incorporate AI-driven solutions and driving business growth in theM&A space, including client relationship management and engagement inbusiness development activities; proven ability to lead and mentorcross-functional teams, • Willingnessand ability to travel as needed to serve client needed, • Applicants mustbe authorized to work in the U.S. without the need for employment-based visasponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S.work visa status for this opportunity (no sponsorship is available for H-1B,L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-basedvisa) KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at _. Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $195415 - $370530 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Machine Learning Engineer to join the Personalization team - an area of hardworking engineers that are passionate about understanding what drives user satisfaction with Spotify - and who make impactful changes to Home recommendation systems to achieve this goal. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers across PZN in prototyping and productizing state-of-the-art ML at the intersection of recommendations and long-term user satisfaction. Contribute to designing, scaling/building, evaluating, integrating, shipping, and refining reward signals for recommendations by hands-on ML development • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization. Lead collaborations and align across PZN to integrate and A/B test mid-term signals in various recommendation systems You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with expertise in statistics and optimization, especially in sequential models, transformers, generative AI and large language models, and relevant fine-tuning processes. You have hands-on experience with large cross-collaborative machine learning projects and managing stakeholders. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with PyTorch, Ray, Hugging Face and related tools is required. You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, or even our open source API for it - Scio, and cloud platforms like GCP or AWS. You care about agile software processes, data-driven development, reliability, and disciplined experimentation. We offer you the flexibility to work where you work best! For this role, you can be within the North America and EMEA region as long as we have_ This team operates within the Eastern Standard time zone for collaboration The United States base range for this position is $227,495- $324,993 equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.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. Find our AI notice here: https://lifeatspotify.com/ai-notice

About Us: HavocAI is an innovative defense technology company making scalable maritime autonomy a reality. We are pioneering an end-to-end solution for planning, tasking and control of uncrewed surface vessels (USVs). As we continue to quickly grow, we are looking for motivated individuals that are inspired to work within an extremely energetic, creative, and innovative team that is passionate about maritime robotics and exploring the open ocean. We work in a highly dynamic environment where collaboration and idea sharing are a way of life. About the Role: At HavocAI, you’ll be key in advancing autonomous mission planning by designing and optimizing reinforcement learning models for AI-driven platforms. You’ll collaborate across teams to integrate ML algorithms into robotic systems and rigorously test performance using simulation environments. If you have hands-on ML expertise, a strong foundation in reinforcement learning, and a passion for deploying mission-critical solutions, we invite you to join our innovative team.. Key Responsibilities: • Mission Planner and Agent Development: Design, develop, train, and optimize models tailored for mission autonomy applications, with a focus on implementing reinforcement learning and other optimization algorithms. These models will focus on high level coordination and strategy generation for AI-enabled platforms., • System Integration: Collaborate with robotics, systems engineering, and data science teams to integrate ML algorithms into autonomous platforms., • Simulation & Testing: Develop and maintain simulation environments (e.g., a Gym or PettingZoo) to rigorously test and validate model performance under various mission scenarios., • Performance Analysis: Analyze data from simulations and field tests, iteratively refining algorithms to enhance reliability, robustness, performance, and efficiency., • Research & Innovation: Stay abreast of the latest advancements in ML, RL, and autonomous systems; prototype innovative approaches and implement best practices., • Documentation: Maintain comprehensive documentation of experiments, code, and methodologies to facilitate team collaboration and reproducibility. Qualifications: • Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field (advanced degree preferred)., • 3+ years of professional experience in machine learning with an emphasis on reinforcement learning and deep learning., • Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or similar tools., • Hands-on experience with Gyms or similar simulation frameworks and familiarity with RL algorithms such as PPO, DDPG, TD3, SAC, or D-REX., • Solid understanding of algorithm development, optimization techniques, and simulation methods., • Proven ability to deploy and maintain ML models in real-world, mission-critical applications., • Excellent analytical, problem-solving, and communication skills, with a strong collaborative mindset., • Must be a US Citizen Preferred Skills: • Master’s or Ph.D. in a relevant technical discipline., • Experience working on autonomous systems, robotics, or collaborative autonomy projects., • Familiarity with additional simulation platforms (e.g., Gazebo, Unity, MOOS-IvP) and cloud computing environments., • Demonstrated track record of research contributions or publications in ML, RL, or deep learning., • Experience with CI/CD practices tailored for ML model development and deployment. Location: • This position will sit in the Greater Boston Area Compensation and Benefits: • The target salary range for this position is $120,000 - $180,000, • 100% Employer paid Health, Dental and Vision Insurance for you and your families, • Ability to participate in the companies 401k program, • Unlimited PTO policy with an enforced 2 week minimum, • Generous Equity Package, • Generous work / home office Stipend, • Global Entry Re-Imbursement Our Values: • Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology., • Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships., • Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation., • Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity., • Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care., • Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status.

If you’re fluent in natural language processing, you may be the hyper-talented Machine Learning Engineer that’s going to help Entefy rewrite the code of human communication. We are looking for a talented and driven NLP specialist to join a high-impact team at the core of Entefy’s mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence. \n Requirements: • Solid fundamentals in mathematics, statistics, and machine learning theory, • Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation, • Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc., • Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems, • Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc., • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc., • English fluency, • Excellent written and verbal communication skills Other qualifications: • Experience with modern deep learning techniques in NLP including sequence to sequence models, distributed representations, pointer networks, attentional models, etc., • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics, • Experience with text-based information retrieval technologies such as Lucene, Solr, Elasticsearch, etc., • Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc., • Fluency in multiple languages is a plus, • Demonstrable proficiency in more than one applicable programming languages is a plus \n Visit and

Job Description EE/CS Patent Agent - ATL/Other Locations Join a Top Intellectual Property Law Firm Group: A leading law firm is actively seeking a Patent Agent to join its Intellectual Property Practice Group. This is an extraordinary opportunity to work on cutting-edge technologies in electrical, and software-related fields. The ideal candidate will have at least 2 years of experience in patent preparation and prosecution, along with a degree in electrical engineering, computer engineering, software engineering, computer science, or physics. Preferred experience includes patent prosecution in Artificial Intelligence, Machine Learning, 5G-Telecom, Robotics and Semiconductor Manufacturing and Packaging. This opportunity is presented by MNF Global legal search firm, a trusted legal search firm operating for 19 years nationally. www.mnfglobal.com Role and Responsibilities: Collaborate with top innovators in drafting and prosecuting patent applications. Contribute to patent litigation and client counseling. Apply technical expertise and legal writing skills in a dynamic legal environment. Professional Growth and Development: Significant career advancement opportunities. A firm culture that fosters continuous learning and innovation. Seize this chance to elevate your career in a firm that invests in technology, professional development, and employee well-being. Apply Now For This Opportunity! Requirements Degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or related fields. 2+ years of experience in drafting and prosecuting U.S. and international patent applications in AI, ML, Semiconductors, autonomous driving, wireless telecom including 5G. Eligibility to practice before the USPTO. Strong academic credentials, writing ability, interpersonal, and communication skills. Benefits Anticipated Compensation and Benefits: Competitive base salary ranging from $140,000 to $240,000, commensurate with qualifications, skills, location, and relevant experience. Comprehensive benefits package, including health, dental, and vision insurance, plus various wellness initiatives. Retirement planning options. Bonus potential and commission opportunities. Generous workplace policies.

Job Description HI, Hope you're doing well This is pankaj from 4P Consulting Please see below job description Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C • A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision- making within an organization. • This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets. Key Responsibilities: Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights. • Use statistical techniques to uncover meaningful information from data. Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. • Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations. • Feature Engineering: Engineer and select relevant features for machine learning models, • enhancing their predictive power. Algorithm Development: Build and fine- tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem. • Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses. Model Deployment: Deploy machine learning models in production environments to support real-time decision-making. A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements. Data Ethics: • Ensure ethical data practices, including privacy and compliance with data protection regulations. Cross- functional Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals. Mentorship: • Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth. Continuous Learning: Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Qualifications: Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Masters or Ph.D. is a plus. • 5 to 10 years of experience in data science, including machine learning and statistical analysis. Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization toolslike Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Solid understanding of databases and data manipulation using SQL. Excellent problem-solving and critical thinking skills. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark). Knowledge of data ethics, privacy, and compliance considerations. • A Data Scientist with 5 to 10 years of experience is a critical asset to an organization, capable of transforming data into actionable insights, building predictive models, and driving data-driven decision-making. This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205-756-4834

Job DescriptionAbout GAINSGAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our Decision Engineering & Orchestration (DEO) platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster, and it's not a tagline, it's how we're redefining what's possible in supply chain decision-making. Job Summary: We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization techniques to design and implement solutions that enhance the efficiency and performance of our supply chain software products. You will work closely with cross-functional teams, including software developers, data scientists, and product managers, to deliver impactful solutions that drive value for our customers. Key Responsibilities: • Model Development: Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain operations, including inventory management, demand forecasting, production planning, and logistics., • Optimization & Simulation: Design and implement optimization and simulation tools to solve complex supply chain problems, ensuring that solutions are scalable and efficient., • Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for improvement within supply chain processes. Use statistical and machine learning techniques to enhance model accuracy., • Software Integration: Collaborate with software developers to integrate models and algorithms into our supply chain software platform, ensuring seamless functionality and performance., • Customer Support: Work with the customer support team to troubleshoot and resolve any issues related to optimization models and algorithms used by our clients., • Continuous Improvement: Stay updated on the latest advancements in operations research, optimization, and supply chain management. Propose and implement improvements to existing models and processes., • Documentation: Prepare detailed technical documentation for models, algorithms, and software modules, ensuring that they are well-documented and easy to understand for internal and external stakeholders., • Project Management: Lead or participate in project teams, ensuring that deliverables are met on time and within scope.Qualifications:, • Education: Master’s in Operations Research, Industrial Engineering, Applied Mathematics, or a related field., • Experience: 3+ years of experience in operations research, optimization, or a related role, preferably within the supply chain or logistics domain., • Technical Skills:, • Proficiency in mathematical modeling and optimization techniques (e.g., linear programming, integer programming, stochastic modeling)., • Strong programming skills in languages such as Python, C++, or Java., • Experience with optimization solvers (e.g., Gurobi, CPLEX) and simulation tools., • Familiarity with supply chain management principles and practices., • Analytical Skills: Strong problem-solving abilities with the capacity to analyze complex systems and datasets., • Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences., • Teamwork: Ability to work effectively in a collaborative, cross-functional team environment., • Adaptability: Willingness to learn and adapt to new challenges and technologies.Preferred Qualifications:, • Experience with machine learning techniques applied to supply chain problems., • Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies., • Experience in the software development lifecycle, including version control and agile methodologies.We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply. Powered by JazzHR 6fcb795zgl

Job DescriptionLegal Professionals - AI Training About Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Legal Subject Matter Experts to join our Expert Network to help train and evaluate cutting-edge AI models using professional legal insight. If you have a legal background, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific's Legal Projects as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $100 per hour, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Legal Background: you have a legal degree, professional qualification (JD, LLB, LLM), or relevant experience as a paralegal or legal analyst., • Attention to Detail: the ability to review complex documentation and identify key nuances or inaccuracies., • Critical Thinking: a "legal mind" capable of providing logical, fact-based reasoning to support your answers., • Reliability: the ability to work independently on ad hoc, remote assignments that fit around your existing commitments. What you'll be doing in the role • Document Evaluation: reviewing various professional, regulatory, or B2B documents to verify information accuracy., • AI Model Guidance: answering specific questions based on document content to help AI models understand technical or formal language., • Fact-Checking & Validation: ensuring that the outputs generated by AI systems align with professional standards and logical legal frameworks., • Knowledge Sharing: providing expert feedback to help bridge the gap between human expertise and machine learning. Key Technologies • Prolific Platform: the secure workspace where you will access and complete your assignments., • LinkedIn: used solely for a quick professional eligibility check during onboarding., • Standard Web Tools: secure access to document-viewing software as required by specific projects. Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links & Privacy Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific's use of your personal information.

Job DescriptionRole Summary Oakwell is seeking an Assistant Project Manager to support active construction projects in healthcare and institutional campus facilities using our Transparent Project Delivery model in Atlanta, Georgia. This is a construction project leadership role, working closely with the Senior Project Manager to manage cost, schedule, safety, and quality on complex projects. The Assistant Project Manager is involved in day‑to‑day project execution, not just documentation—supporting field operations while maintaining strong project controls. Key Responsibilities • Work directly with the Senior Project Manager to support overall construction execution, • Actively use and experiment with AI and machine‑learning tools to work faster, identify risk earlier, and improve decision‑making across construction cost, schedule, safety, and QA/QC., • Assist with open‑book cost control, including:, • Target Cost tracking, • Forecast vs. actual analysis, • Contingency and change tracking, • Support construction scheduling, milestone tracking, and recovery planning, • Coordinate Change Order Requests (CORs) related to construction scope, • Assist with safety oversight:, • Support contractor safety programs, • Track incidents, corrective actions, and permit requirements, • Support QA/QC control:, • Monitor quality inspections and first‑time‑quality expectations, • Track deficiencies, rework, and closeout items, • Maintain PMIS including RFIs, submittals, procurement, risk logs, and decision logs, • Support construction through Validation, Active Construction, Commissioning, and Turnover, • Assist with startup, commissioning, punch list, and closeout documentationSpecific Qualifications, • Bachelor’s degree in Construction Management, Engineering, or related field, • 2–4 years of experience on active construction projects, • Comfortable working with field teams, superintendents, and trade partners, • Comfortable working within project management software like Procore, Autodesk or others, • Strong understanding of construction cost, schedule, safety, and quality, • Healthcare or MEP‑heavy construction experience preferred, • Motivated to grow into a Project Manager role Powered by JazzHR KxKRdCY8Ut

Job DescriptionJob Title: Data Scientist-GCP Client: TBD Work Time Zone: EST Rate: $58/hour on 1099/C2C Location: Atlanta, GA ( Hybrid – 3 days on-site) We are looking for an experienced and forward-thinking Data Scientist to join our Data, Analytics, and Data Products team. The ideal candidate will have strong hands-on experience using Google Cloud Platform (GCP) tools—especially Vertex AI and Gemini—to deliver high-impact machine learning, statistical analysis, and generative AI solutions. This role plays a key part in optimizing decision-making and operational strategies across our core business functions. Core Responsibilities • Data Analysis & Exploration, • Analyze and explore large, complex datasets using BigQuery and other GCP-native sources., • Identify patterns, trends, and actionable insights to inform data science projects and business initiatives., • Statistical Modeling & Machine Learning, • Build, tune, and evaluate ML models (e.g., classification, regression, clustering, forecasting)., • Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development., • Generative AI & LLM Applications, • Develop and deploy generative AI use cases using Vertex AI and Gemini., • Engage in prompt engineering, model fine-tuning, feature extraction, summarization, and more., • Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG)., • Model Deployment & MLOps, • Use Vertex AI Pipelines, Model Registry, and Prediction Services to deploy and manage models., • Implement monitoring for model drift, bias detection, and performance tracking in production., • Experimentation & Validation, • Design and analyze experiments (e.g., A/B testing) to measure model effectiveness and business impact., • Define evaluation metrics aligned with model fairness, quality, and real-world utility., • Cross-Functional Collaboration, • Work closely with Data Engineers, Product Managers, and business stakeholders to scope, design, and deploy models., • Translate complex analytical results into clear, strategic business insights. Required Qualifications • Bachelor's degree in Statistics, Computer Science, Data Science, or a related quantitative field., • 8-12 + years of experience in applied data science, machine learning, and statistical analysis., • Strong coding skills in Python or R for data analysis, modeling, and automation., • Hands-on experience with Vertex AI components (Notebooks, Pipelines, Training, Prediction)., • Familiarity with Gemini or other LLMs; experience with prompt engineering or GenAI tools., • Strong analytical thinking, communication, and storytelling abilities., • Proven track record with GenAI, including LLM integration, fine-tuning, and RAG systems., • Deep expertise in the Vertex AI ecosystem (Feature Store, Vector Search, Agent Builder)., • Solid understanding of MLOps practices and tools (e.g., CI/CD pipelines for ML)., • Experience with TensorFlow, PyTorch, or JAX.

Job Description Overview Shriners Children’s Research Institute (SCRI) is seeking a dynamic, mission-oriented Associate Director for Finance, Operations and Administration (AD) to lead facility operations and performance of a new stand-alone research facility. The AD reports to the Director of the SCRI and supports SCRI operations and related activities under the Director’s leadership, in coordination with the Office of the Vice President of Research and applicable Shriners Children’s central offices and shared services for research administration, financial management, operational, and governance-related matters. The AD plays a pivotal role in shaping the institute’s future, ensuring that every aspect of performance is carefully managed to foster a culture of excellence. The successful candidate for this role will be both highly visible and accessible to team members. By prioritizing quality, compliance, and growth, the AD leads efforts to enable cutting edge research and drive translational science that impacts clinical care, positioning the institute to achieve Vision 2035 targets. Their responsibilities encompass not only the experience of research participants, employee engagement, safety, and financial stewardship, but also the ongoing development of strategies that enhance both operational efficiency and research standards. The AD is accountable for institute-level budget planning, operational financial monitoring, forecasting, variance review, and expenditure tracking for budgets allocated to research investigators at the institute. This includes coordination related to federal, state, and/or foundation award expenditures in collaboration with the Office of Research Grants and Sponsored Programs, Finance and Accounting, and other applicable central offices, while supporting alignment with Shriners Children’s Vision 2035. By providing value-driven leadership and offering both guidance to senior leadership, management and partnering with research staff, the AD supports compliance with SHC/SCRI policies and procedures, applicable federal, state, and local regulations (e.g., Code of Federal Regulations, Food and Drug Administration regulatory guidance), sponsor requirements, and award terms and conditions, while coordinating with the Office of Research Grants and Sponsored Programs, Finance and Accounting, Legal, Compliance, and other applicable central offices to support appropriate reporting. They promote high standards in planning, program management, and accountability for program deliverables. A key focus in this role is engaging others in the design, management, and organizational structure of this new institute, developing strong collaborative relationships across the institute, the Atlanta research ecosystem, and with Shriners Children’s administrative leadership and teams. The AD must be able to develop action and tactics to create operational efficiencies and strategic alignment, whether through optimizing resources, centralizing functions, or implementing shared services models. To advance Vision 2035, the AD champions continuous improvement initiatives, drawing on industry best practices and quality assessment tools to identify and meet customer needs, both internal and external. By elevating research standards and driving innovation, they position the Shriners Children’s Research Institute to accelerate innovation, drive translational research, fuel sustainable growth, and ensure that the institute is providing mission-driven research to transform pediatric care. Responsibilities • Provides assistance to the Director in planning, design, and construction of a new 150,000 – 200,000 square foot facility for scientific research, as well as the common and conference spaces., • Builds and develops a high-performing administrative team; coordinates with the Director and scientific leadership to enable talent acquisition, engagement, development, and retention to sustain a mission and values-driven culture., • Oversees site capital equipment and contracting processes in collaboration with the Shriners Executive Leadership; ensures requests and expenditures align with budget, strategy, follow established review processes, and deliver appropriate value., • Provides property management and accountability and establishes and maintains service agreements as necessary., • Coordinates actively with the Shriners Chief Information Officer to assist with hardware and software procurements, ensure information security, enable scientific applications and software deployment, maintains licenses and service agreements, and provides project and change management as needed. Ensures IT capabilities and operations are configured to support cutting edge artificial intelligence, machine learning, augmented reality, bioinformatics research, and microscopy. Enables systems to protect research data, including data from human participants., • Maintains an active risk management capability and works with institute and headquarters leadership to address or mitigate identified risks., • Provides strong financial stewardship, including operating and capital budgeting, variance management, and prudent use of resources consistent with organizational expectations. Works collaboratively with the Office of Research Grants and Sponsored Programs, Finance and Accounting, and other applicable central offices to support expenditure review, monitoring, and coordination related to federal, state, foundation or other sponsor terms and conditions., • Ensures appropriate security, emergency response and continuity of operations planning, and safety-related services are in place for institute employees, visitors, research and facilities in collaboration with building management., • Establishes scientific resources through shared services, agreements, or other approved methods to enable library services, occupational safety and health, radiation safety (if applicable), workplace safety education, and veterinary resources (if required)., • Manages disclosures and conflicts of interest, provides education and training in ethics and reporting., • Leads facility-wide performance, ensuring exceptional quality, safety, compliance, study participant experience. Works collaboratively with the Director and scientific leadership to ensure regulatory compliance across federal, legal, and research requirements and with review protocols from appropriate accrediting or inspecting agencies., • Sets strategy and operating plans; establishes performance metrics and accountability to deliver measurable results aligned with institute priorities., • Champions an inclusive, collaborative environment; communicates with transparency and navigates complex, matrixed stakeholder relationships effectively., • Leads change management and continuous improvement using best practices, benchmarking, and operational discipline to improve effectiveness and research integrity., • Strengthens the institute’s reputation and stature by advancing research capabilities and maintaining strong partner/community relationships., • Drives operational efficiencies through resource optimization and, where appropriate, centralization and shared-services models. This is not an all-inclusive list of this job’s responsibilities. The incumbent may be required to perform other related duties and participate in special projects as assigned. Qualifications Required: • 10 or more years of progressive leadership experience including 7 years of management responsibility within a scientific research organization of comparable complexity and scope, e.g., a research institute or organization, • Master’s Degree in Business Administration, Science, Public Health, or Engineering or equivalent Preferred • Greater than 7 years experience at the Associate Director, Associate Vice President, Executive Officer, or equivalent for research administration., • Working knowledge of regulations and guidance related to scientific research (e.g., CFR, GCP, FDA regulations, IRB requirements), • Experience supporting financial systems, personnel, facilities, infrastructure, information systems, operations, and property management in a scientific organization

Job DescriptionMechanical Engineering Experts - PhD - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Mechanical Engineering experts to help train and evaluate cutting-edge AI models. For this project we are seeking PhD holders who are comfortable narrating their approach to solving complex problems. If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • A PhD (or PhD candidacy) in Mechanical Engineering or a related discipline, • Strong subject matter expertise and ability to work through complex, technical problems, • Experience with or a strong interest in AI and machine learning is a bonus, • Willingness to narrate your thinking out loud, • Strong attention to detail, • Reliable, fast internet connection and access to a computer, • A PayPal account to receive payments from our clientsWhat you'll be doing in the role, • Working through complex problems and tasks while narrating your reasoning process out loud, • Screen-recording your approach to problems and tasks, • Reviewing and evaluating AI-generated responses to technical problems, rating them for accuracy, depth, and reasoning quality, • Comparing multiple model answers and selecting/justifying the best response, • Writing improved exemplars, rationales, or structured feedback when models fall short Why Prolific is a great platform to join as a Participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Sign up directly here - https://app.prolific.com/register/participant/waitlist/?campaign_code=CGT9PJQK Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description Job Description: 4P Consulting Inc. is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology. Key Responsibilities: • Data Collection: Gather and collect large datasets from multiple sources, including APIs, databases, and external providers., • Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers., • Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data characteristics and patterns., • Feature Engineering: Develop features from raw data to enhance machine learning models., • Machine Learning Modeling: Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations., • Model Evaluation: Assess and fine-tune models using relevant evaluation metrics for optimal performance., • Data Visualization: Create clear, insightful visualizations and reports to present findings to non-technical stakeholders., • Predictive Analytics: Utilize statistical and machine learning techniques to predict trends and future outcomes., • Statistical Analysis: Apply statistical methods to test hypotheses and analyze data., • A/B Testing: Design and execute A/B tests to evaluate changes and improvements., • Data Integration: Integrate data science solutions into existing workflows and software systems., • Data Security: Ensure data privacy by implementing appropriate security measures., • Documentation: Maintain clear documentation of processes, models, and findings., • Continuous Learning: Stay current on developments in data science and machine learning. Qualifications: • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred)., • Programming Skills: Proficiency in Python or R., • Data Tools: Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch)., • Database Knowledge: Strong understanding of SQL and relational databases., • Statistical Skills: Expertise in statistical analysis techniques., • Machine Learning: Deep knowledge of machine learning algorithms and techniques., • Data Visualization: Proficient in tools like Matplotlib, Seaborn, or Tableau., • Problem-Solving: Strong analytical and problem-solving skills., • Communication: Ability to clearly explain complex findings to non-technical audiences., • Collaboration: Experience working within cross-functional teams., • Domain Knowledge: Relevant industry experience (e.g., healthcare, finance) may be required., • Ethical Considerations: Knowledge of ethical data analysis practices, including privacy and bias concerns. Benefits: • Competitive salary, • Opportunities for career growth and development, • Health and wellness benefits, • Collaborative and dynamic work environment How to Apply: Please submit your resume and a cover letter to info@4pconsultinginc.com detailing your experience and why you’d be a great fit for the Data Scientist role.

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: • Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field, • 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role, • Advanced knowledge of probability theory, statistics, and machine learning methods is required, • Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred, • Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data, • Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus, • Strong written and verbal communication skills, • Strong programming skills in Python (preferred), R, and SQL, • Experience and understanding of relational and non-relational databases preferred, • Comfort working within git-based version-control environments, • Experience with Databricks or other cloud-based data and analytics platforms preferred, • Highly motivated, detail oriented, and team player BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description Consulting at CapTech: • Create, evaluate and manage technical solutions to ensure client success, • Partner with clients on team-based projects to deliver solutions across the full Software Development Lifecycle leveraging the Agile Methodology as well as modern technology languages, frameworks, and patterns, • Thrive in a collaborative environment with many opportunities to learn from and share knowledge with other developers, architects, and our clients., • Design, implement, integrate and support on-prem, cloud, and hybrid development, • Create roadmap and high-level design documentation, epics and stories, • Identify and communicate architectural / solution tradeoffs, for client specific solutions, • Display a working knowledge of different architectural frameworks that may be used by our clients, • Collaborate with cross-functional teammates to support business development by demonstrating CapTech’s technical capabilities Technical Solutions: • Lead the design and architecture of Java-based solutions tailored to meet client-specific needs., • Create technical project estimates and work plans, • Develop code hands-on in addition to architecture solution, • Solutions include API-driven clients, microservice architectures, event-driven integrations, cloud deployments, serverless applications, and web and portal front ends, • Experience with Agentic AI development- Developing agents and developing with agents, • Experience with a Varied AI Toolset- Claude code, CodeX, Opencode, OpenClaude, • Preferred experience with AI orchestration Learning and Professional Development Opportunities: • Create an individualized professional development plan, • Gain experience with a variety of different clients and industry verticals, • Influence and guide professional development efforts for those at all levels, including teaching, coaching, and collaboration through project work and innovation challenges, • Share knowledge and common experiences with fellow CapTechers through Technical Communities of Practice and Lunch and Learns Qualifications Qualifications: • Enterprise-level experience with modern Java, its core libraries, and open-source frameworks, • Hands-on experience with software development, enterprise architecture, and directing technical teams, • Familiarity with microservice architectures, monitoring tools, databases, and containerization, • Ability to think strategically and relate architectural recommendations to business needs and client culture., • Extensive knowledge and application of Design Patterns, • Ability to communicate technical solutions with technical and non-technical stakeholders, • Experience assessing the performance of software systems and implementing tools used to optimize performance Preferred Qualifications: Familiarity with tools such as LangChain, vector databases, and prompt engineering techniques Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake) AI/ML certifications or cloud certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer) Experience with Legacy Systems and Architectures including SaaS Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous time off, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI- JB1 #LI- Onsite

Job Description Join WorldVia as a Full Stack Engineer focused on our cutting-edge AI Platform and take your career to the next level! We are seeking a talented and passionate engineer who is excited about building innovative solutions that leverage artificial intelligence to revolutionize the travel experience. In this role, you will be responsible for designing, developing, and maintaining both front-end and back-end applications that utilize AI technology to enhance our travel services. Your work will involve collaborating with data scientists, product managers, and UX/UI designers to create intelligent applications that meet the needs of our customers. If you’re excited to build the AI operating system for travel and you’re comfortable pairing your craft with A Iaugmented development, let’s talk. Key Responsibilities • Design and develop scalable web applications using front-end and back-end technologies., • Implement machine learning models and AI algorithms into applications., • Collaborate with cross-functional teams to define, design, and ship new features., • Debug and resolve technical issues across the stack., • Optimize applications for maximum speed and scalability., • Maintain code quality through code reviews and best practices., • Stay up-to-date with emerging technologies and industry trends. How we work • Your will report directly to the CEO and work closely with Product Development and Travel Technology teams, • This role is hybrid and is typically 1-2 days per week in Roswell, GA office with scheduling flexibility, • Our process is lean, outcome driven, short cycles, instrumentation, and frequent user feedback Requirements • 4+ years building production web apps with TypeScript, • Proficiency in front-end technologies such as React (or Next.js) and modern component patterns, • Relational databases (Postgres or equivalent) and strong data modeling, • Solid grounding in authN/Z, security, and privacy for PII bearing systems, • Practical testing (unit/integration) and CI/CD experience, • Handson cloud deployment experience (AWS or Heroku), • Fluency with AI coding assistants/tools (e.g., Cursor, Codex, Claude Code, or Copilot) and AI augmented workflows, prompting, refactors, tests, code review, and tool/use policy hygiene, • Ability to work in a collaborative team environment, • Ability to read, write, and communicate effectively in English at a level necessary to perform the essential functions of the role. Benefits • Employer-Sponsored Medical and Dental Insurance with Employee Contribution, • Fully-Funded Life Insurance (1x salary) & LTD (Long-Term Disability Insurance), • Optional Employee-Paid Vision Insurance and STD (Short-Term Disability Insurance), • 401k with up to 4% Company Match, • Paid Time Off + Company Holidays, • Additional Time Off for Your Birthday and Work Anniversary, • Discount Travel Program Equal Opportunity & E-Verify Statement WorldVia is an equal opportunity employer. This employer participates in E-Verify. We will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the United States.

Job Description Senior Enterprise Architect – Shape the Future of Technology Location: Atlanta, GA* (Hybrid Remote) | Position Type: Full-Time Are you ready to take on a career-defining opportunity as the first Senior Enterprise Architect in our organization? This is a rare and exciting "first-to-the-team" role where you will not only lead an architecture team (Data Architecture, System Architecture, Application Architecture) but also build the Enterprise Architecture function from the ground up. As a key strategic leader, you’ll design and implement our technology vision, aligning it with business goals to drive innovation, scalability, and efficiency across the enterprise. This is your chance to make a lasting impact by creating a world-class architecture function that supports a rapidly growing organization. If you’re a trailblazer who thrives in greenfield opportunities, this is the role for you! What You’ll Do Establish and Lead the Enterprise Architecture Function • Develop the organization’s first-ever Enterprise Architecture framework, strategy, and roadmap., • Implement and chair the Architecture Review Board (ARB) to ensure alignment across business and technology., • Define and communicate the technology vision and lead strategic discussions with senior executives, portfolio managers, and stakeholders., • Build and manage a high-performing architecture team, including System Architects and Data Architects. Design Scalable, Future-Ready Solutions • Lead the creation of a robust architectural runway to support Agile Release Trains (ARTs) and Solution Trains., • Partner with Agile Teams, Product Managers, and Solution Architects to define and implement innovative, scalable solutions., • Streamline the technology portfolio by identifying opportunities to reduce complexity, redundancy, and total cost of ownership. Drive Innovation Across the Enterprise • Champion emerging technologies, including Cloud, Big Data, AI, and Machine Learning, to future-proof the organization., • Establish and promote enterprise-wide architectural standards to ensure consistency, quality, and best practices., • Mentor and inspire Agile Teams to adopt Continuous Delivery Pipeline (CDP) and DevOps capabilities. Lead Enabler Epics and Architecture Initiatives • Guide Enabler Epics through the Portfolio Kanban to ensure alignment with business priorities., • Collaborate with cross-functional teams to decompose epics into actionable features and capabilities., • Play a key role in SAFe (Scaled Agile Framework) events such as PI Planning, System Demos, and design reviews. Be a Visionary Leader • Act as a thought leader and advocate for Lean-Agile practices across the organization., • Build and foster a collaborative, innovative culture focused on continuous improvement., • Lead a Community of Practice for architecture and mentor the next generation of technical leaders. What You’ll Bring • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree or certifications like TOGAF, SAFe are a plus)., • Experience: Minimum of 7+ years in enterprise architecture or technology leadership roles, with proven success in creating large-scale architectures., • Technical Expertise: Deep knowledge of Cloud, Big Data, AI, Machine Learning, system integration, IT governance, and application design. Familiarity with platforms like Salesforce, Appian, and Enterprise systems., • Leadership Skills: Demonstrated ability to build and lead teams, influence stakeholders, and drive organizational change., • Framework Knowledge: Experience with SAFe principles and Agile practices., • Communication Skills: Strong verbal and written communication skills to effectively bridge technical and non-technical audiences., • Visionary Mindset: Ability to think strategically, align technology with business goals, and implement solutions that deliver maximum value. Why This Role? This is more than a job; it’s an opportunity to build a legacy. As the first Senior Enterprise Architect in our organization, you will have unparalleled autonomy to shape the future of technology and make a measurable impact. You’ll work alongside forward-thinking leaders in a collaborative, fast-paced environment that values innovation, leadership, and excellence. If you’re ready to lead, build, and innovate, we’d love to hear from you. Apply now to take the next step in your career as a technology trailblazer! *potentially open to remote candidates in EST or CST with willingness to travel as often as monthly

Job DescriptionAI & Machine Learning Engineer - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning., • Professional Experience: experience building, deploying, or fine-tuning ML models in a production environment., • Deep Learning Mastery: professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques., • LLM Specialization: hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows., • Technical Rigor: the ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms., • Analytical Critique: high attention to detail in spotting "hallucinations," biased outputs, or logical failures in AI-generated technical content. What you'll be doing in the role • Evaluate LLM Architecture Logic: review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy., • Audit Code & Notebooks: validate ML-specific code (e.g., training loops, data preprocessing scripts, or model evaluations) for efficiency and correctness., • Refine RLHF Frameworks: provide the high-quality human feedback necessary to align models with human intent, safety, and helpfulness., • Analyze Model Reasoning: critically assess how an AI model navigates complex chain-of-thought (CoT) prompts and identify where the reasoning breaks down., • Benchmark Performance: conduct comparative testing between different model outputs based on specific technical taxonomies and performance metrics. Key Technologies • Frameworks: expert proficiency in PyTorch or TensorFlow/Keras., • Language & Data: advanced Python (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers., • Cloud & MLOps: experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain., • Vector Databases: familiarity with Pinecone, Milvus, or Weaviate for RAG evaluation.Why Prolific is a great platform to join as a Participant Joining our Expert Network will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.Click here to apply directly - https://app.prolific.com/register/participant/waitlist/?campaign_code=C14EMWJILinks to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description Are you passionate about applying machine learning to transform the future of RF hardware? At Falcomm, we are revolutionizing wireless communications by integrating AI-driven solutions into the design of our energy-efficient Power Amplifier (PA) products. We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development of intelligent tools that enhance RF workflows, automate complex EM simulations, and accelerate the tape-out of high-performance PAs. This role sits at the intersection of software engineering, machine learning, and RF physics, perfect for a developer who wants to get close to the hardware. Responsibilities: • End-to-End ML Pipeline Development: Architect and maintain robust code for training and serving ML models that predict and optimize RF performance metrics., • PA Design Automation: Automate the creation and management of large-scale datasets derived from PA load-pull and electromagnetic (EM) simulations., • Tool Integration: Seamlessly integrate ML inference engines into existing RF EDA infrastructure to provide real-time feedback to PA designers., • Software Engineering Excellence: Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within an agile hardware team., • Cross-Functional Collaboration: Partner closely with RF/PA architects to translate complex impedance matching and linearity requirements into deployable software solutions. Requirements • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field., • 2+ years of professional experience in software engineering or machine learning., • Proficiency in Python: Advanced scripting, object-oriented programming, and automation skills., • ML Framework Expertise: Experience building models using PyTorch, TensorFlow, or scikit-learn., • Data Engineering: Strong grasp of data processing libraries (pandas, numpy, scipy) and file I/O operations., • Software Fundamentals: Solid understanding of algorithms, data structures, and version control (Git)., • RF Domain Knowledge: RF front-end architectures, or a strong understanding of RF metrics (PAE, Gain, ACLR, EVM). Preferred Skills (The "RF/PA Plus") • RF PA Domain Knowledge: Experience with Power Amplifier design and an understanding of RF PA metrics., • RF/EM Simulation Tools: Hands-on experience with Cadence Virtuoso, Ansys HFSS, or Keysight ADS., • Open Source Innovation: Experience utilizing or contributing to open-source RF/EDA alternatives (e.g., gdsfactory, KLayout, Qucs, openEMS)., • Simulation Scripting: Familiarity with automating RF simulations via SKILL, AEL, or Python APIs., • Physics-Informed ML: Interest or experience in applying ML to physics-based problems or electromagnetic modeling. Benefits • Competitive Salary and Equity Package, • Comprehensive Health, Dental, and Vision Insurance, • 401(k) Retirement Plan, • Paid Time Off (PTO) and Sick Leave DISCLOSURE • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status., • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm., • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Job Description Company Introduction: Airspace is a tech-enabled freight forwarder that's redefining how the world's most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands. As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors. Airspace has been rated one of America's best Startup Employers, listed as one of CNBC's Disruptor 50 companies, and featured as an Innovation and Disruption leader by CBS News. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m. The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics. About the job: As Airspace has evolved, our internal business systems have become as critical to our success as the systems we provide to our customers. As the Workflow Solutions Specialist, you will serve as the bridge between business vision and technical reality. Your primary responsibility is taking stakeholder ideas for how work should flow and building the technical solutions to make it happen, regardless of platform limitations. This is not a traditional "admin" role where, configuring settings within a single platform based on business requirements built from another team. You will own Zendesk as your core platform and support the Salesforce platform, but you'll regularly need to think beyond their native capabilities. When a leader says "I wish our system could do X," your job is to identify, ideate and implement how to make X happen, whether that means native configuration, custom API work, middleware automation, webhooks, or creative combinations of tools. You will report to the Sr. Manager of Business Systems & Operations, focusing on support for the Revenue, Operations, and Executive teams. At the highest level, you will be responsible for identifying, inventing, implementing, and accelerating scalable and measurable processes that move our organization toward a "single source of truth" mindset. Successful candidates will be creative problem-solvers who refuse to be limited by out-of-the-box functionality. They will have the technical depth to build custom integrations while maintaining the strategic perspective to ensure solutions are scalable, maintainable, and actually solve the business problem. You're an ideal candidate if: You've been in situations where stakeholders describe their ideal workflow and it doesn't exist as a native feature in any platform, and you've figured out how to build it anyway. You view platforms like Zendesk and Salesforce as flexible building blocks rather than rigid systems with fixed capabilities. You can provide specific examples of times when you've: • Taken a business vision and designed the technical solution, choosing the right combination of tools and approaches. This should also include top notch documentation and implementation of the end result, • Built cross-platform automations that made manual processes obsolete (e.g., "When X happens in Zendesk, notify Y via Slack, and create a task in our project management tool")., • Designed Zendesk workflows that go beyond basic ticket routing - custom apps, dynamic forms, conditional automations, sophisticated SLA management, or external API integrations., • Used APIs and webhooks to connect systems that weren't designed to work together., • Said "yes, we can do that" when others assumed something wasn't possible. You have a proven track record of completed technical builds, as well as user adoption and change management successes. Your skill set includes "checking the boxes", but more importantly you actively collaborate with stakeholders to refine their vision, identify edge cases they haven't considered, and propose solutions they didn't know were possible. We are a fast-growing company; it's critical to have team members who think in scale and aren't constrained by platform limitations. What you'll do: • Workflow Solutions Architecture (Primary focus), • Partner with stakeholders across Revenue, Operations, and Executive teams to understand their workflow visions and pain points, • Design and build end-to-end workflows that may span multiple platforms (Salesforce, Zendesk, Slack, internal APIs, etc.), • Create custom automations using APIs, webhooks, and integration platforms when native functionality falls short, • Example projects you might tackle:, • Create an escalation workflow that monitors SLA breaches across multiple ticket categories, automatically escalates to different teams based on shipment urgency, and alerts leadership when a breach occurs., • Build a bidirectional sync between Salesforce accounts and Zendesk organizations that maintains data consistency, updates customer information in real-time, and prevents sync conflicts or duplicate records., • Zendesk Platform Ownership:, • Administer and optimize the Zendesk instance for our support and operations teams, • Design sophisticated ticket routing, triggers, automations, and macros, • Build and maintain custom apps, integrations, and extensions, • Create and manage views, reports, and dashboards that drive operational decisions, • Manage user permissions, groups, and organizational structures, • Salesforce Platform Ownership:, • Support Business Systems & Operations team with buildouts of new system architecture, • Build custom objects, fields, validation rules, and flows, • Create reports and dashboards for Revenue and Operations teams, • Integration & Automation Excellence:, • Build and maintain API connections between business systems, • Write and troubleshoot webhook configurations, • Document technical implementations and integration architecture, • Strategic Partnership & Continuous Improvement:, • Proactively identify inefficiencies in current workflows and propose solutions, • Stay ahead of business needs by understanding upcoming initiatives and preparing technical groundwork, • Collaborate with Management to develop best practices for system requests and implementation What we require: • 5+ years of experience administering Zendesk, including advanced configuration (automations, triggers, apps, extensions, and custom integrations), • 2+ years of experience being responsible for a Salesforce instance, • 7+ years of total experience in business systems administration, • Strong hands-on experience with APIs and integrations. You should be comfortable reading API documentation, testing endpoints, and building custom automations, • Proven ability to architect workflow solutions that span multiple platforms and tools, • Creative problem-solving mindset. You find ways to say "yes" rather than accepting platform limitations, • Expert level of report building (Salesforce, Looker, etc.), • Demonstrated ability to balance high-priority strategic initiatives and operational execution / excellence, • Strong communication skills to translate technical concepts for non-technical stakeholders, • Experience with integration/automation platforms (Make, Zapier, Workato, or similar) strongly preferred, • Desire to learn and advance your career, • Humble, team-oriented contributor, • Salesforce Administrator Certificate required, Advanced Certificate a plus, • Zendesk certification is a plus but hands-on expertise is more important Preferred experience: • Experience with JavaScript, Python, or other scripting languages, • Familiarity with REST APIs, JSON, and webhook architecture, • Background in logistics, supply chain, or operations-heavy environments, • Experience building custom Zendesk apps or Salesforce Lightning components, • Knowledge of data modeling and relational database concepts Salary Range: $100K - $115K annual salary Core Values: • We are One Team. We believe we all accomplish more when we are working together., • We make an Impact. We are determined to have a positive influence on our environment, our customers, our industry, and our world., • We are Passionate. We care deeply about our mission and are not afraid to raise the bar., • We are Transparent. We pride ourselves on having open, honest, and sincere communication with our team and customers., • We are Innovative. We never settle and are always striving to improve our product, service, and ourselves.About Airspace: From life-saving organs to essential machinery components, Airspace is trusted by the world's largest companies and most critical healthcare organizations to move their most time-sensitive shipments on time, every time. Our proprietary AI-powered platform is the most advanced of its kind- awarded and protected by multiple patents, it provides speed, reliability, and transparency unrivaled in time-critical logistics. We are thinkers, builders, and doers; from building and deploying AI in the world to assembling a world-class operations team, Airspace is on a hypergrowth trajectory while remaining hyper-focused on the needs of our customers and team members. With offices in the United States in Carlsbad, CA and in Europe in Amsterdam, Frankfurt, Stockholm, and London, we are rapidly scaling into new markets and industries while continuing to innovate and maximize value for our customers. Backed by leading investors including Telstra, HarbourVest, Prologis, Qualcomm, Defy, and others, Airspace has raised $140M to date. Join our team of 300+ technologists, futurists, and industry veterans as we work as One Team to revolutionize time-critical logistics. Airspace is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Airspace participates in the E-Verify program for all locations. For this role the acquisition of recruitment agencies is not appreciated, thank you for your understanding.

Job Description WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat! AI Strategist This is a rare opportunity to sit at the intersection of business strategy and cutting-edge AI, without being pigeonholed into either. You're not just advising on technology; you're shaping how major enterprise clients think about and invest in AI. From day one, you'll be working across a portfolio of marquee brands, helping them move from curiosity to confidence in their AI strategies. What makes this role unique is the scope of influence. You'll be the person in the room who listens to business stakeholders, translates their challenges into a clear vision, and then builds the roadmap that actually gets them there. You're the bridge: the one who makes sure AI investments deliver real, measurable value rather than becoming shelf-ware. This is also a role with staying power. AI strategy is still being defined across industries, and you'd be helping to shape that definition, both externally with clients and internally. What experience should you have: • 10-15 years of experience in strategist or consulting role., • Deep AI expertise, particularly in a consulting or agency role: ethical AI principles and best practices., • Ability to articulate complex ideas simply and credibly, and create executive-level presentations., • AI / Machine Learning / advanced analytics experience in a highly-regulated industry (healthcare, finance, energy, defense)., • Expertise in change management processes and a deep appreciation for its value in enterprise solution adoption., • Hands-on experience driving adoption of Generative AI solutions in the enterprise, • Bonus Points: AI governance certification preferred What you'll be doing in this role: • Lead business development activities, including client pitches, creating plans and estimating work. This involves creating trusted partnerships to consistently extend and expand client relationships and engaging with CS and BD to develop new business., • Identify business outcomes and plan and delegate work to the team to positively impact them and communicate the a clear value proposition/story of our work to the clients, • Infer and communicate the consequences of new information/criteria/realities on specific client ecosystems or scenarios Partners with senior clients to identify high-value AI opportunities, build strategic roadmaps for AI adoption, and establish governance mechanisms for AI programs. • Provide strategic direction to clients and internal teams. They lead major engagements, influence client decision-making and develop innovative approaches that create lasting value for clients., • Focus, lead and mentor the teams to deliver measurable results., • Frame AI work around testable hypotheses tied to real business outcomes (revenue, retention, efficiency). What you'll need to accomplish in your first year: • Drive AI Strategy with Clients: Identify high-value AI opportunities within client organizations, build strategic roadmaps for AI adoption, and establish governance mechanisms to ensure AI programs are sustainable and trustworthy, understanding how AI fits into a client's broader ecosystem and decision-making., • Lead and Grow: Mentor internal teams on AI-related engagements, participate in business development (pitches, scoping, estimating AI work), and help mature the firm's overall AI solution offerings over time., • Translate Complexity: Act as the interpretive layer between data scientists/technical teams and business stakeholders — communicating consequences of model outputs, new data realities, or AI limitations in terms clients can act on. Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. Apply today or check out all our opportunities! By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.