Commercial Engineer in IT developing strategic sales in the Indian Ocean region, specifically targeting private sector in La Réunion. Focus on personalizing client approaches and strengthening business relationships.
About the role
- Senior Machine Learning Engineer developing scalable AI and machine learning solutions at CVS Health. Collaborating across teams to transform data into actionable business insights with innovative technologies.
Responsibilities
- Build and automate scalable machine learning pipelines that support every stage of the campaign lifecycle—from data ingestion to analysis, insights, and activation.
- Deploy models on cloud platforms, ensuring reliability and efficient CI/CD for seamless integration into our products.
- Collaborate with Data Science, Product, Engineering, and business teams to turn prototypes into production-ready solutions, always keeping the right product vision in mind.
- Work across teams to deliver enterprise-grade analytics solutions that meet business needs and drive measurable impact.
- Set engineering standards, mentor teammates, and contribute to technical decision-making.
- Leverage the latest model technologies and AI advancements to keep our analytics and campaign products innovative and impactful.
Requirements
- 5+ years of experience as a Machine Learning Engineer
- Strong Python engineering skills
- Experience deploying ML models in cloud environments
- Familiarity with ML pipeline tools (Airflow, Vertex AI, SageMaker, etc.)
- Experience with API development and backend engineering
- Understanding of model monitoring, testing, and lifecycle management
- Ability to work cross-functionally with DS and product teams
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
- Paid time off
- Flexible work schedules
- Family leave
- Dependent care resources
- Colleague assistance programs
- Tuition assistance
- Retiree medical access
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