Machine Learning Engineer
BiorenderFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The typical pay range is $92,700.00 - $185,400.00, depending on factors like experience, education, and geography. This position is also eligible for a CVS Health bonus, commission, or short-term incentive program.
This information is not specified in the job description.
Required qualifications include 5+ years in AI/ML development and data analytics, 3+ years with Python, R, SQL, and cloud platforms (AWS, Azure, GCP), 3+ years in machine learning algorithms, deep learning, and data analytics techniques, 2+ years with MLOps, data pipelines, model monitoring, and BI tools.
CVS Health emphasizes building a world of health with dedicated, purpose-driven colleagues passionate about transforming health care in a connected, convenient, and compassionate way, supported by over 300,000 colleagues.
Candidates should have at least 5+ years in AI/ML and data analytics, strong experience with Python, R, SQL, cloud platforms, ML frameworks like TensorFlow and PyTorch, MLOps, and BI tools, plus a Bachelor’s degree or equivalent, with preferred strong problem-solving, communication, and collaboration skills.
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.