Machine Learning Engineer

CVS Health•Work At Home-Indiana, IN

5d•$64,890 - $129,780

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a Machine Learning Engineer to design and implement robust AI/ML applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on GCP and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.

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

Nice To Haves

Familiarity with Vertex AI & Azure OpenAI
Experience working with LLMs and RAGs in a production environment
Knowledge of natural language processing (NLP)
Experience working with Kubernetes (GKE), Docker, and or DataFlow
Familiarity with big data technologies (Apache Spark, Ray, Dask)
Experience with streaming data technologies (e.g., Apache Kafka, PubSub)
Familiarity with version control systems (e.g., Git)
Strong problem-solving skills and attention to detail
Ability to work collaboratively in a team environment

Responsibilities

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 our products and services, ensuring high performance and scalability.