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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - **Company:** CVS Health - **Location:** Wellesley, MA, United States - **Experience:** Expert - **Salary:** $111,240.0 - $222,480.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Automation of Tests, Big Data, BigQuery, Software Quality, Continuous Integration, Data Cleansing, Information Engineering, Python (Programming Language), Machine Learning, Node.Js, Recommender Systems, Tensorflow, Software Systems, SQL Databases, Reinforcement Learning, Pytorch, ReactJS, Large Language Models, Snowflake, Apache Spark, Kubernetes, Information Technology, Apache Kafka, Machine Learning Operations, Virtual Agents, Software Version Control - **Published:** June 30, 2026 - **Apply:** https://dejobs.org/x/x/1F2905F7619A43A5AA0D4F686570EF0D/job/ ## About the Role Must-Have * 5+ years of hands-on experience developing machine learning systems in production environment * 5+ years of Python programming experience. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps platforms (e.g., Kubeflow, Vertex) * 2+ years of SQL experience working with large-scale data (e.g., Snowflake, BigQuery) * 2+ years of leading design and architecture of new and existing system experience * Strong background in one or more of the following: reinforcement learning, causal inference, LLM, MCP * Experience as a mentor or tech lead * Ability to work and influence cross-functionally with strong communication skills Preferred * Proficiency with full-stack framework (e.g, Node.js, React) * Experience with real time scoring using tools like Spark, Kafka, Airflow * Solid backend engineering skills in Python, including APIs and data modeling * A/B testing and experimentation experience Education * Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equivalent experience) * Master's degree preferred ## Description At CVS Health, we're reshaping the future of CRM Marketing through AI-driven optimization and decision-making to better serve millions of customers nationwide. We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you'll leverage your engineering background and expertise in ML to work on complex technical problems, build new features, and improve existing products. Your solutions will impact tens of millions of customers, influencing how they manage their health and everyday purchases. Collaborating closely with data science, data engineering, marketing, operations, and other cross-functional teams, you'll architect, develop, deploy, and operationalize ML systems that transform first-party data and measurement signals into reliable decision engines - reducing cycle times, increasing impact, and enabling closed-loop, in-flight optimization. You will also continuously improve model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows. If you are excited by hard problems, large scale of data and systems, and shipping models that actually get used, this is the job. What You'll Do * Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive CRM Marketing optimization and automation including customer targeting, content recommendation, frequency optimization, propensity, uplift and LTV models etc. * Implement CICD for ML including automated testing, model versioning, monitoring, and orchestration for models in production * Lead the design of Agentic AI solutions to marketing workflow automation, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies. * Collaborate with Data Science, Engineering, and business teams to turn prototypes into production-ready solutions that meet business needs and drive measurable outcomes * Provide technical leadership on complex projects. Mentor other engineers and data scientists in best practices, code quality, and scalable architecture. Influence our ML and data roadmap. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? 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