Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Candidates need 5+ years of overall software development experience with at least 1+ year developing AI/NLP solutions using LLMs, 3+ years of Python development skills, familiarity with cloud-based LLM services like Google Vertex AI and Azure OpenAI, and experience fine-tuning LLMs/SLMs.
This information is not specified in the job description.
This information is not specified in the job description.
CVS Health features a high energy and growing team of dedicated, purpose-driven colleagues passionate about transforming health care through digital innovation, with a focus on making a difference in customers' lives in a connected, convenient, and compassionate way.
Strong candidates will have experience with RAG (a plus), lightweight local development for AI proof-of-concepts, e-commerce or retail content generation, deploying on cloud infrastructure like Azure or GCP, and building scalable cloud solutions, in addition to meeting the required qualifications.
Comprehensive pharmacy and healthcare services
CVS Health operates a large network of retail pharmacies and walk-in medical clinics across the United States, providing a variety of health-related products and services. Their offerings include prescription medications, over-the-counter health products, and beauty items, as well as pharmacy benefits management and specialty pharmacy services. CVS Health's integrated business model allows them to serve individual consumers, businesses, and communities effectively, with a focus on improving health outcomes and reducing healthcare costs. Unlike many competitors, CVS Health combines pharmacy services with medical care, making it easier for patients to access quality healthcare. The company's goal is to enhance access to healthcare and support individuals in achieving better health.