.net/azure architect and technical lead - health data platforms

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.net/azure architect and technical lead - health data platforms Jobs in Boston

data engineer

senior lead software engineer

Vertex Pharmaceuticals

<div><p><b>Job Description
</b></p><p>We are seeking a unique individual with a passion for data and AI technology who can help our team drive forward enterprise-scale AI adoption of our data &amp; AI platform. Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities, technologies, and data to augment our scientific mission, enable Vertex to grow in scale, and continue to be on the forefront of science, medicine, and technology. As part of this effort, it is critical that users have data &ldquo;at their fingertips&rdquo;, with the patterns and technology to support AI adoption at scale.
</p><p>As a Senior Principal AI Engineer in the Data Platforms team, you will unlock and accelerate AI by designing the reusable components, starter kits, and opinionated developer first patterns for our Data Platform. This person will be a key contributing member of the Data Platform, driving forward the deployment and management of Vertex&rsquo;s enterprise platform for data &amp; AI. This role operates at the platform level, shaping how teams build AI on the platform by turning best practices into predictable and repeatable patterns embedding governance into code, and reducing time to value for new use cases. You will work horizontally across platform engineering, governance, and product teams to act as a technical multiplier, enabling dozens of teams across Vertex to ship safely, consistently, and securely. To support enablement, you will advise and influence high-impact initiatives across the organization and lead a scaled enablement program to deliver AI on the Vertex Data Platform.
</p><p></p><p><b>Key Duties &amp; Responsibilities:
</b></p><ul><li><p><b>Platform Management </b>&ndash; Design, support, and continuously enhance Vertex&rsquo;s enterprise data and AI platform to enable scalable and efficient AI adoption across the organization.
</p></li></ul><ul><li><p><b>Design and Build </b>&ndash; Design, build, and maintain production-grade AI starter kits to streamline the development and deployment of AI solutions.
</p></li></ul><ul><li><p><b>Reference Implementations </b>&ndash; Deliver end-to-end reference implementations for AI workloads, providing teams with clear examples and best practices for leveraging the platform.
</p></li></ul><ul><li><p><b>Delivery Management </b>&ndash; Partner with platform engineering, governance, and product teams to deliver data solutions that accelerate AI development and adoption, reducing time-to-value for new use cases.
</p></li></ul><ul><li><p><b>Solution Packaging </b>&ndash; Package solutions as templated, internal tooling, and opinionated defaults that align with enterprise standards, ensuring consistency and ease of use across teams.
</p></li></ul><ul><li><p><b>Team Enablement </b>&ndash; Act as a technical multiplier by providing reusable architecture patterns, starter kits, and developer-first abstractions to empower teams across Vertex to build and deploy AI solutions effectively.
</p></li></ul><ul><li><p><b>Technology Champion </b>&ndash; Advocate for innovative, cloud-first approaches to data and AI platform development, driving forward Vertex&rsquo;s technological capabilities to support future growth.
</p></li></ul><ul><li><p><b>Innovation Champion </b>&ndash; Identify and implement process enhancements and opportunities to improve Vertex&rsquo;s data and AI platform, ensuring alignment with best practices and industry standards.
</p></li></ul><ul><li><p><b>Enablement Champion </b>&ndash; Lead scalable enablement programs across the Vertex Data Platform to drive consistency, quality, and reuse of AI platform patterns.
</p></li></ul><p></p><p><b>Knowledge and Skills:
</b></p><ul><li><p><b>Technical Expertise </b>&ndash; Hands-on experience with AI technologies, particularly GenAI, LLM, Agentic AI, Dev/DataOps, or MLOps, and a solid understanding of enterprise software development tools and methodologies. Experience with Snowflake or Databricks is required.
</p></li><li><p><b>Workflow Tools </b>&ndash; Working knowledge of key workflow tools, including JIRA and Confluence, to support project management and collaboration.
</p></li><li><p><b>Product and Solution Management </b>&ndash; Experience managing the creation and grooming of epics and themes for product and Solution roadmaps.
</p></li></ul><ul><li><p><b>Project Management </b>&ndash; Demonstrated ability to work independently and manage multiple projects requiring collaboration across functional areas.
</p></li></ul><ul><li><p><b>Team Collaboration </b>&ndash; Skillful and collaborative team player with the ability to develop rapport and credibility with stakeholders.
</p></li></ul><ul><li><p><b>Mentorship and Support </b>&ndash; Proven ability and willingness to teach, engage, and support others as they learn new technologies and concepts.
</p></li></ul><ul><li><p><b>Adaptability and Problem-Solving </b>&ndash; Enthusiasm for and ability to quickly learn new technologies and tackle complex challenges.
</p></li></ul><ul><li><p><b>Communication Skills </b>&ndash; Strong presentation, verbal, and written communication skills to effectively convey technical concepts to diverse audiences.
</p></li></ul><p></p><p><b>Education and Experience:
</b></p><ul><li><p>Successful track record with 10+ years of experience working with data, advanced analytics, and 5+ years of developing cloud-based data products.
</p></li><li><p>Strong experience working with AI/ML and GenAI products
</p></li></ul><ul><li><p>5+ years of experience delivering projects in agile environments, with a strong understanding of agile methodologies and practices.
</p></li><li><p>Bachelor's degree in computer science, Software Engineering, or related field, or relevant years of experience
</p></li></ul><p></p><p><b>Pay Range:
</b></p>$188,000 - $282,000
<p></p><p><b>Disclosure Statement:
</b></p><div><div><div><div><div><div><div><div><p>The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
</p><p></p><p>At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.
</p></div></div></div></div></div></div></div></div><p></p><p><b>Company Information
</b></p><p>Vertex is a global biotechnology company that invests in scientific innovation.
</p><p></p><p>Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
</p><p></p><p>Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com</p></div>

Senior Principal AI Platform Engineer, Data & AI Platform

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
In this role, you will:</p><ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Engineer

Red Hat

<div><div><div>Job Summary</div></div><div></div><div><div><div><div><div><div><div><div><div><div>
At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. The Red Hat AI Inference Engineering team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM and LLM-D projects, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.</div><div></div><div>
As a Senior Machine Learning Engineer focused on distributed vLLM infrastructure in the llm-d project, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in scalable inference systems and Kubernetes-native deployments. Your work with machine learning, distributed systems, high performance computing, and cloud infrastructure will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you want to solve cutting edge problems at the intersection of deep learning, distributed systems, and cloud-native infrastructure the open-source way, this is the role for you.</div><div></div><div>
Join us in shaping the future of AI!</div><div></div><div>
What you will do</div><ul><li><div>
Contribute to the design, development, and testing of new features and solutions for Red Hat AI Inference</div></li><li><div>
Innovate in the inference domain by participating in upstream communities</div></li><li><div>
Design, develop, and maintain distributed inference infrastructure leveraging Kubernetes APIs, operators, and the Gateway Inference Extension API for scalable LLM deployments.</div></li><li><div>
Develop and maintain system components in Go and/or Rust to integrate with the vLLM project and manage distributed inference workloads.</div></li><li><div>
Develop and maintain KV cache-aware routing and scoring algorithms to optimize memory utilization and request distribution in large-scale inference deployments.</div></li><li><div>
Enhance the resource utilization, fault tolerance, and stability of the inference stack.</div></li><li><div>
Develop and test various inference optimization algorithms.</div></li><li><div>
Actively participate in technical design discussions and propose innovative solutions to complex challenges for high impact projects</div></li><li><div>
Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members</div></li><li><div>
Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements</div></li><li><div>
Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts</div></li><li><div>
Mentor and coach a distributed team of engineers</div></li><li><div>
Provide timely and constructive code reviews</div></li><li><div>
Represent RHAI in external engagements including industry events, customer meetings, and open source communities</div></li></ul><div><br>
</div><div>What you will bring</div><ul><li><div>
Strong proficiency in Python and GoLang or similar</div></li><li><div>
Experience with cloud-native Kubernetes service mesh technologies/stacks such as Istio, Cilium, Envoy (WASM filters), and CNI.</div></li><li><div>
A solid understanding of Layer 7 networking, HTTP/2, gRPC, and the fundamentals of API gateways and reverse proxies.</div></li><li><div>
Knowledge of serving runtime technologies for hosting LLMs, such as vLLM, SGLang, TensorRT-LLM, etc.</div></li><li><div>
Excellent written and verbal communication skills, capable of interacting effectively with both technical and non-technical team members.</div></li><li><div>
Experience providing technical leadership in a global team</div></li><li><div>
Autonomous work ethic and the ability to thrive in a dynamic, fast-paced environment</div></li></ul><div><br>
</div><div>Following is considered a plus</div><ul><li><div>
Strong proficiency in Rust, C, or C++</div></li><li><div>
Working knowledge of high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDMA is a plus.</div></li><li><div>
Deep experience with the Kubernetes ecosystem, including core concepts, custom APIs, operators, and the Gateway API inference extension for GenAI workloads.</div></li><li><div>
Experience with GPU performance benchmarking and profiling tools like NVIDIA Nsight or distributed tracing libraries/techniques like OpenTelemetry.</div></li><li><div>
Experience in writing high performance code for GPUs and deep knowledge of GPU hardware</div></li><li><div>
Strong understanding of computer architecture, parallel processing, and distributed computing concepts</div></li><li><div>
Bachelor's degree in computer science or related field is an advantage, though we prioritize hands-on experience</div></li><li><div>
Active engagement in the ML research community (publications, conference participation, or open source contributions) is a significant advantage</div></li></ul><div></div><div>
#AI-HIRING</div><div>
#LI-MD2</div></div></div></div></div></div></div></div></div></div><div></div>
The salary range for this position is $170,770.00 - $281,770.00. Actual offer will be based on your qualifications.<div></div><div>
Pay Transparency</div><div>
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat&rsquo;s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.</div><div></div><div>
About Red Hat</div><div><div>
Red Hat</div> is the world&rsquo;s leading provider of enterprise<div> open source</div> software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.</div><div></div><div>
Benefits<br>
<ul><li>Comprehensive medical, dental, and vision coverage</li><li>Flexible Spending Account - healthcare and dependent care</li><li>Health Savings Account - high deductible medical plan</li><li>Retirement 401(k) with employer match</li><li>Paid time off and holidays</li><li>Paid parental leave plans for all new parents</li><li>Leave benefits including disability, paid family medical leave, and paid military leave</li><li>Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!</li></ul></div><div></div><div>
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.</div><div></div><div>
Inclusion at Red Hat<br>
Red Hat&rsquo;s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.</div><div></div><div>
Equal Opportunity Policy (EEO)<br>
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.</div><div><br>
Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.</div><div></div><div>
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email <div>application-assistance@redhat.com</div>. General inquiries, such as those regarding the status of a job application, will not receive a reply.</div></div>

Senior Machine Learning Engineer, Distributed vLLM (llm-d)

Pragmatike

<div>
 <strong>
  Location:
 </strong>
 Cambridge, MA (Eastern Time / UTC -4)
 <strong>
  Relocation package available
  <br/>
  <br/>
 </strong>
 <strong>
  Start date:
 </strong>
 ASAP
 <br/>
 <br/>
 <strong>
  Languages:
 </strong>
 English (required)
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Pragmatike is hiring on behalf of a
 <strong>
  fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital
 </strong>
 , founded by MIT CSAIL researchers.
 <br/>
 <br/>
 We are seeking a
 <strong>
  Staff / Principal ML Ops Engineer
 </strong>
 to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization.
 <br/>
 <br/>
 You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are
 <strong>
  robust, efficient, automated, and production-grade
 </strong>
 . This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution.
 <br/>
 <br/>
 <strong>
  What Youll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring.
  </li>
  <li>
   Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters.
  </li>
  <li>
   Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows).
  </li>
  <li>
   Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost).
  </li>
  <li>
   Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models.
  </li>
  <li>
   Collaborate with researchers to productionize models and accelerate training/inference pipelines.
  </li>
  <li>
   Establish ML Ops best practices, internal standards, and cross-team tooling.
  </li>
  <li>
   Mentor engineers and influence architectural direction across the entire AI platform.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Were Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected).
  </li>
  <li>
   Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure).
  </li>
  <li>
   Proficiency with Python and familiarity with TypeScript or Go for platform integration.
  </li>
  <li>
   Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding)
  </li>
  <li>
   Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling).
  </li>
  <li>
   Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries.
  </li>
  <li>
   Ability to lead technical strategy, collaborate cross-functionally, and operate in fast-paced environments
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience deploying and operating LLMs and generative models in production at enterprise scale.
  </li>
  <li>
   Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code.
  </li>
  <li>
   Experience optimizing GPU clusters, scheduling, and distributed training frameworks.
  </li>
  <li>
   Prior startup experience or comfort operating with ambiguity and high ownership.
  </li>
  <li>
   Experience working with data engineering, feature pipelines, or real-time ML systems.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why This Role Will Pivot Your Career
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.
  </li>
  <li>
   Customer impact: Deploy AI solutions powering Fortune 500 clients.
  </li>
  <li>
   Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&amp;B CoreWeave).
  </li>
  <li>
   Funding &amp; growth: Oversubscribed seed round, next funding in 2026.
  </li>
  <li>
   Career growth &amp; influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale.
  </li>
  <li>
   Culture &amp; autonomy: Own critical systems while collaborating with world-class engineers.
  </li>
  <li>
   Aspirational impact: Solve AI performance challenges few engineers ever face.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary &amp; equity options
  </li>
  <li>
   Sign-on bonus
  </li>
  <li>
   Health, Dental, and Vision
  </li>
  <li>
   401k
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   Pragmatike
  </em>
 </strong>
 <em>
  is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
 </em>
</div>


Principal AI/ML Engineer

Coverys

<div><div>Position Summary</div><div></div><div>
The Senior Scrum Lead at Coverys plays a key role in advancing the organization&rsquo;s Agile delivery model across insurance, risk analytics, and enterprise technology platforms. This role partners closely with business and IT leaders to deliver initiatives that modernize policy, billing, claims, and underwriting systems, enhance digital experiences, and support Coverys&rsquo; mission of protecting the healthcare community through innovative insurance and risk management solutions.</div><div></div><div>
Essential Duties &amp; Responsibilities</div><div></div><div>
Agile Delivery &amp; Execution</div><ul><li><div>
Serve as Scrum Lead for two or more Agile teams within Coverys&rsquo; product and technology portfolio (e.g., core systems modernization, analytics, or digital experience).</div></li><li><div>
Plan and facilitate all Scrum ceremonies sprint planning, daily stand-ups, sprint reviews, and retrospectives.</div></li><li><div>
Partner with Product Owners and Business Analysts to maintain healthy, prioritized backlogs aligned with strategic business outcomes.</div></li><li><div>
Identify and remove impediments impacting sprint progress while driving alignment across cross-functional teams (underwriting, Product Development, Actuarial, IT).</div></li><li><div>
Leverage Agile metrics (velocity, burn-up/down, predictability) to guide performance and transparency.</div></li><li><div>
Support Release Train level planning by ensuring team readiness for PI Planning and participating in coordination activities that align delivery across teams.</div></li></ul><div></div><div>
Stakeholder Collaboration</div><ul><li><div>
Work closely with product managers, delivery leads, architects, and business stakeholders to ensure sprint goals and deliverables support Coverys&rsquo; corporate strategy.</div></li><li><div>
Collaborate with governance teams to maintain compliance with internal processes, audit standards, and regulatory expectations.</div></li><li><div>
Communicate progress, risks, and dependencies clearly to leadership and business partners.</div></li></ul><div></div><div>
Coaching &amp; Continuous Improvement</div><ul><li><div>
Mentor Scrum Leads and Product Owners across multiple teams to strengthen Agile maturity and consistency.</div></li><li><div>
Foster a culture of accountability, empowerment, and continuous improvement.</div></li><li><div>
Promote adoption of Agile practices, DevOps, and automation to improve delivery speed and quality.</div></li><li><div>
Facilitate retrospectives to capture lessons learned and implement actionable improvements.</div></li></ul><div></div><div>
Governance, Quality &amp; Compliance</div><ul><li><div>
Ensure alignment with IT governance, risk, and compliance frameworks in the insurance space (e.g., data privacy, and audit readiness).</div></li><li><div>
Maintain discipline in documentation, change management, and system testing in partnership with QA and release teams.</div></li></ul><ul><li><div>
Support evolving business needs, as applicable.</div></li></ul><div></div><div>
Education, Experience, Competencies &amp; Values</div><ul><li><div>
Bachelor&rsquo;s degree in business, Computer Science, or related field, required.</div></li><li><div>
7+ years of IT delivery experience, with 5+ years as a Scrum Lead in an Agile or hybrid environment.</div></li><li><div>
Experience in insurance systems, ideally in medical professional liability, commercial lines, or P&amp;C insurance. Extensive experience leading Agile delivery in the insurance domain.</div></li><li><div>
Certified Scrum Master (PSM/CSM) or equivalent (PMI-ACP, A-CSM), required.</div></li><li><div>
Exceptional facilitation, servant leadership, and communication skills.</div></li><li><div>
Strong understanding of Agile methodologies (Scrum, Kanban, SAFe) and experience with Azure DevOps, SharePoint, or similar tools.</div></li><li><div>
Hands-on experience supporting Release Trains and facilitating or participating in PI Planning events.</div></li><li><div>
Experience with Duck Creek, Guidewire or other core insurance systems, preferred.</div></li><li><div>
Familiarity with cloud-based data platforms, Workday, or Salesforce ecosystems, preferred.</div></li><li><div>
Prior exposure to compliance or audit-driven environments in insurance.</div></li><li><div>
Ability to foster collaboration across teams with transparent and effective communication.</div></li><li><div>
Delivery Excellence and Execution Discipline</div></li><li><div>
Business and Technical Agility</div></li><li><div>
Risk and Dependency Management</div></li><li><div>
Continuous Learning and Improvement Mindset</div></li></ul><div></div><div>
The base salary range for this role is $114,829.50-$155,357.56. Individual compensation packages are based on a variety of factors that are unique to each candidate including geographic location, skill set, experience, qualifications and education.</div><div></div><div>
If you're a caring and customer focused individual who enjoys working with passionate team members, Coverys is the right company for you!</div></div>

Senior Scrum Lead

PA Consulting

<div><div><p>We believe in the power of ingenuity to build a positive human future.</p><p>
As strategies, technologies, and innovation collide, we create opportunity from complexity.</p><p>
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.</p><p>
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.</p><p>
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.</p><p>
PA. Bringing Ingenuity to Life</p></div><br>
<div><div><div><div><h4 class="jobSectionHeader"><b>Job description</b></h4><p><b>
Your day to day</b></p><p>
We&rsquo;re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.</p><p>
Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about both developing new capabilities and ensuring the optimization and reliability of existing data systems? Are you passionate about designing, building, and operating data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine?</p><p>
If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers.</p><p>
As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes. This role provides a dynamic mix of innovative new development&mdash;enhancements, optimizations, and Proofs of Concept&mdash;alongside meaningful hands‑on ownership of production pipelines, data flows, and platform operations.</p><p>
You will contribute to system improvements while also owning the monitoring, troubleshooting, tuning, and day-to-day reliability of the existing data ecosystem. If you're excited about leveraging your data engineering skills to make a difference in the world of healthcare, we want to hear from you.</p></div><br>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader"><b>Qualifications</b></h4><p>
Qualifications</p><p>
At<b> </b>least<b> 8 years</b> of industry working experience as a data engineer</p><ul><li>
Advanced SQL and Python</li><li>
Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds</li><li>
Experience building dynamic, metadata driven pipelines and analyses</li><li>
Experience maintaining and supporting production data systems, including pipeline monitoring, troubleshooting, and delivering long‑term reliability and optimization enhancements</li><li>
Building and managing fully automated data pipelines (ETL, ELT, ELTL) including:<ul><li>
Designing and building data interfaces to source systems</li><li>
Combining and transforming data into the appropriate format for storage</li><li>
Developing data sets for analytics purposes</li><li>
Developing pipelines that can handle common issues/errors in a robust and automated way</li><li>
Implementing data quality checks, observability, and cost/performance optimization</li></ul></li><li>
Cloud experience in Azure, AWS or GCP</li><li>
Ability to balance enhancement work with operational responsibilities in a production environment</li></ul><p><b>
Preferred qualifications</b></p><ul><li>
Spark / PySpark experience highly preferable</li><li>
Working in Agile and DevOps environments</li><li>
Basic Python, Bash, or PowerShell for automation</li><li>
Data modelling &ndash; Kimball, Data Vault, Star/Snowflake schema, Query-first etc.</li><li>
Data visualisation in Power BI, Tableau, Qlik or similar</li><li>
Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies</li><li>
Experience with monitoring/observability tools (logging, alerting, pipeline health dashboards)</li><li>
One or more of the following certifications:<ul><li>
Microsoft Certified: Azure Data Engineer Associate</li><li>
AWS Certified Data Analytics - Specialty</li><li>
GCP Professional Data Engineers</li></ul></li></ul><br>
</div>
</div></div></div><div><div><div><div><h4 class="jobSectionHeader"><b>Additional information</b></h4><p>
Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples&rsquo; working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.</p><p>
We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.</p><p>
We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity &ndash; bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people.</p><p><b>
The salary range for this role is between $155,000k - $180,000k</b><br>
<br>
Benefits</p><ul><li><p>
Group medical insurance</p></li><li><p>
Health Savings Account with company match</p></li><li><p>
Teladoc and informed Nurse line resources</p></li><li><p>
Long term care plan</p></li><li><p>
Group dental insurance</p></li></ul><ul><li><p>
Vision plan</p></li><li><p>
401(k) Savings Plan with company profit sharing contribution</p></li><li><p>
Commuter and Parking tax-savings benefit</p></li><li><p>
15 days paid vacation days with the opportunity to buy five additional days</p></li><li><p>
10 paid Holidays plus 10 paid sick days</p></li></ul><ul><li><p>
Company and Voluntary income protection benefits</p></li><li><p>
Gym and health incentive reimbursement</p></li><li><p>
Pet and legal insurance Plans</p></li><li><p>
Employee Assistance Plan</p></li><li><p>
Annual performance-based bonus</p></li></ul><p>
#LI-JS1</p></div></div></div></div></div>

Edison Smart®

<div>
 <p>
  <strong>
   Senior Robotics ML Engineer | Autonomous Systems | Boston, MA (Hybrid) | 6-12 Month Contract
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Boston, MA (Hybrid)
 </p>
 <p>
  <strong>
   Contract Type:
  </strong>
  Contract
 </p>
 <p>
  <strong>
   Rate:
  </strong>
  $90&ndash;$130/hr (W2 or 1099)
 </p>
 <p>
  <strong>
   Duration:
  </strong>
  6-12 months (extension possible)
 </p>
 <p>
  <strong>
   Right to Work:
  </strong>
  Must be authorized to work in the United States
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Project Overview
  </strong>
 </p>
 <p>
  Join a cutting-edge robotics and autonomous systems program focused on deploying ML-driven perception and decision-making models on real-world robotic platforms operating in production environments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This program is moving beyond experimentation and PoCs, with a strong emphasis on
  <strong>
   production-grade ML
  </strong>
  ,
  <strong>
   edge deployment
  </strong>
  , and
  <strong>
   robustness under real-world constraints
  </strong>
  such as latency, compute limits, and sensor noise.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Lead design, training, and iteration of ML models for robotic perception, including object detection, segmentation, and tracking
  </li>
  <li>
   Deploy and maintain ML models on edge devices within robotic or autonomous platforms
  </li>
  <li>
   Optimize inference performance to meet latency, throughput, and compute constraints
  </li>
  <li>
   Evaluate and improve model performance using real-world sensor data
  </li>
  <li>
   Collaborate with autonomy, robotics, and systems teams to integrate ML outputs into downstream decision-making pipelines
  </li>
  <li>
   Mentor junior engineers and support post-deployment monitoring and continuous model improvement
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Extensive hands-on experience with Python and PyTorch or TensorFlow
  </li>
  <li>
   Proven track record deploying ML models into production environments (beyond research or notebooks)
  </li>
  <li>
   Strong practical experience applying computer vision or multimodal ML to real-world robotic or sensor data
  </li>
  <li>
   Deep understanding of ML trade-offs, including accuracy vs latency, model size, and compute efficiency
  </li>
  <li>
   Experience working where ML models interact with physical systems in real-time
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack:
  </strong>
  Python, PyTorch or TensorFlow, Computer Vision, Edge ML, ROS2 , Sim2Real
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Senior Robotics ML Engineer | Autonomous Systems | Boston, MA (Hybrid) | 6-12 Month Contract
  </strong>
 </p>
</div>


Senior Robotics ML Engineer | Boston, MA

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Senior Robotics ML Engineer | Boston, MA