Job description

At CVS Health, we're building a world of health around every consumer, surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels, and more than 300,000 purpose-driven colleagues—caring for people where, when, and how they choose in a way that is uniquely more connected, more convenient, and compassionate. And we do it all with heart, each and every day. Key Responsibilities: • Design, implement, and maintain end-to-end machine learning pipelines in Azure Machine Learning. • Develop and manage CI/CD pipelines for machine learning workflows using GitHub Actions. • Deploy machine learning models to Azure Kubernetes Service (AKS) or other Azure-hosted endpoints. • Monitor model performance and data drift; implement automated retraining strategies. • Collaborate with infrastructure teams to manage compute resources, storage, and security effectively. • Work alongside data scientists to transition experimental code into production environments. • Maintain reproducibility, versioning, and traceability of data, models, and code. • Ensure best practices in MLOps, security, testing, and observability are followed. Minimum Qualification: • 5+ years of experience in Data Science/Engineering roles. • Strong SQL and Python skills with extensive experience. Preferred Qualifications: • 2+ years of experience in MLOps, DevOps, or ML Engineering roles. • Hands-on experience with Azure Machine Learning, Azure DevOps, and Azure Kubernetes Service (AKS). • Proficient with Git, GitHub, and GitHub Actions workflows. • Familiarity with containerization using Docker and orchestration via Kubernetes. • Experience with model deployment, versioning, and monitoring in production environments. • Knowledge of ML lifecycle tools (e.g., MLflow, DVC, Azure ML tracking). • Experience with Infrastructure as Code (IaC) tools like Terraform. • Experience in developing and deploying Generative AI and Large Language Models (LLMs) using frameworks such as Azure OpenAI Service. Education: Bachelor's degree preferred/specialized training/relevant professional qualification. Anticipated Weekly Hours: 40 Time Type: Full time Pay Range: The typical pay range for this role is: $83,430.00 - $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. Our people fuel our future. Our teams reflect the customers, patients, members, and communities we serve, and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people: We take pride in our comprehensive and competitive mix of pay and benefits—investing in the physical, emotional, and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: • Affordable medical plan options, a 401(k) plan (including matching company contributions), and an 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 addressing 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. We anticipate the application window for this opening will close on: 08/15/2025. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Requirements