Senior Machine Learning Engineer

About the role

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.

Responsibilities

• Arcitect, 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

Requirements

• Must have 5+ years of hands-on experience developing machine learning systems in production environment
• Must have 5+ years of Python programming experience. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps platforms (e.g., Kubeflow, Vertex)
• Must have 2+ years of SQL experience working with large-scale data (e.g., Snowflake, BigQuery)
• Must have 2+ years of leading design and architecture of new and existing system experience
• Must have a strong background in one or more of the following: reinforcement learning, causal inference, LLM, MCP
• Must have experience as a mentor or tech lead

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

Pay

The Typical Pay Range For This Role Is $111,240.00 - $222,480.00 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.