Senior Machine Learning Engineer at CVS Health focusing on AI-driven CRM Marketing solutions. Collaborating across teams to optimize machine learning systems and enhance customer experiences.
Responsibilities
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.
Requirements
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.
Benefits
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs
Confidential counseling and financial coaching
Benefit solutions that address the different needs and preferences of our colleagues 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.
Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.
Senior Platform/MLOps Engineer designing and maintaining scalable infrastructure for AI at Bright Machines. Join a team transforming manufacturing through intelligent automation.
AI/ML Risk Guide enhancing risk management within Capital One's Tech and Product teams. Collaborating on risk solutions that impact customer experience and stability.
Staff Machine Learning Engineer developing content and creator classification systems for Patreon’s platform insights. Collaborating across teams to enhance discovery and recommendations for creators and fans.
Machine Learning Co - op working on sales and collection AI chatbot projects at Lendbuzz. Gaining experience with data annotation, cleaning, and multilingual model evaluation.
AI Prompt Senior Engineer developing and optimizing large language models for TIAA. Collaborating cross - functionally to create innovative AI solutions with a focus on data science.
Machine Learning Engineer transforming research - driven models into scalable systems. Join Shalion in an international team focused on e - commerce intelligence.
Team Lead Machine Learning overseeing production systems for sustainability analytics using satellite imagery and ML. Leading a technical team to drive innovative geospatial solutions.