MLOps Engineer leading large - scale model deployments and managing CI/CD pipelines in GCP ecosystem. Focus on operational excellence and implementing observability frameworks for AI systems.
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.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Machine Learning Engineer designing AI systems for multi - scale physical technologies at Orbital. Leading high - risk projects with a focus on AI research and engineering excellence.
Machine Learning Engineer at Auror, using data science to reduce retail crime through innovative ML systems. Collaborate with product teams and develop impactful solutions leveraging real - time data.
Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.