Machine Learning Engineer

CVS Health

Machine Learning Engineer designing robust AI/ML applications for CVS Health. Collaborating with data scientists and engineers to drive business insights and ensure application scalability.

Posted 6/21/2026full-timeRemote • 🇺🇸 United StatesJunior💰 $64,890 - $129,780 per yearWebsite

Tech Stack

Tools & technologies

ApacheAzureBigQueryCloudDockerKafkaKubernetesMongoDBNoSQLPythonRayRDBMSSpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningPythonRDBMSNoSQLdata preprocessingfeature engineeringmodel evaluationcloud platformsnatural language processingbig data technologies

Soft Skills

problem-solvingattention to detailcollaboration