Machine Learning Engineer

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• design and implement robust AI/ML applications that drive innovation and business insights • collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into products and services • ensure high performance and scalability of applications

🎯 Requirements

• Proven experience as a Machine Learning Engineer (1 + years) • Proficiency in Python programming language • Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery) • Experience with data preprocessing, feature engineering, and model evaluation • Experience with cloud platforms (Google Cloud, Azure) • Understanding of machine learning concepts and workflows • Familiarity with Vertex AI & Azure OpenAI (preferred) • Experience working with LLMs and RAGs in a production environment (preferred) • Knowledge of natural language processing (NLP) (preferred) • Experience working with Kubernetes (GKE), Docker, and or DataFlow (preferred) • Familiarity with big data technologies (Apache Spark, Ray, Dask) (preferred) • Experience with streaming data technologies (e.g., Apache Kafka, PubSub) (preferred) • Familiarity with version control systems (e.g., Git) (preferred) • Strong problem-solving skills and attention to detail (preferred) • Ability to work collaboratively in a team environment (preferred)

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • resources designed to support the physical, emotional, and financial well-being