Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
About the role
- 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.
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