Machine Learning Engineer - Provider Selection Analytics

CVS Health

CVS Health is dedicated to enhancing personalized, convenient healthcare through its core values and innovative solutions. The Machine Learning Engineer role focuses on building advanced applications, collaborating with a team to integrate machine learning into company services, and driving business insights.

In this role you can expect to have the responsibilities:

• Design and implement robust machine learning applications.
• Collaborate with data scientists, software engineers, and product managers.
• Ensure high performance and scalability of ML-integrated products.

This role comes with the following benefits:

• Comprehensive medical, dental, and vision benefits.
• 401(k) retirement savings plan and Employee Stock Purchase Plan.
• Fully-paid term life insurance.
• Short-term and long-term disability benefits.
• Well-being programs and education assistance.
• CVS store discounts and partner discount programs.
• Paid Time Off (PTO), vacation pay, and paid holidays.

This role requires you to have:

• 2+ years as a Machine Learning Engineer.
• Strong Python programming skills.
• Experience with RDBMS & NoSQL databases like MongoDB.
• Proficiency in data preprocessing, feature engineering, and model evaluation.
• Experience with cloud platforms such as Google Cloud and Azure.
• Knowledge of machine learning concepts and workflows.

You would benefit from having:

• Familiarity with Vertex AI and Azure OpenAI.
• Experience with large language models (LLMs) and retrieval-augmented generation (RAGs).
• Knowledge of natural language processing (NLP).
• Familiarity with Apache Spark and streaming data technologies like Apache Kafka.
• Proficiency with Git or other version control systems.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.

CVS Health considers applicants with arrest or conviction records in line with federal, state, and local laws.