onsite
Machine Learning Engineer - CVS Health
ML Engineer
Machine Learning Engineer designing and deploying AI/ML solutions on AWS, collaborating with data scientists and software teams to deliver scalable, production‑ready models that drive business insights.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy machine learning models using Python, TensorFlow or PyTorch on AWS services (SageMaker, EC2, Lambda).
- Collaborate with data scientists to transform research prototypes into scalable pipelines, ensuring reproducibility and performance.
- Build and maintain data ingestion and feature engineering workflows, leveraging SQL and data lake architectures.
- Implement CI/CD pipelines with Docker, GitHub Actions, and AWS CodePipeline to automate model training, testing, and deployment.
- Monitor model performance in production, troubleshoot drift, and iterate on model improvements.
Requirements
- 3+ years of experience in machine learning engineering or related field.
- Proficiency in Python, SQL, and experience with TensorFlow/PyTorch.
- Hands‑on experience deploying models on AWS (SageMaker, Lambda, ECS).
- Strong understanding of data pipelines, feature stores, and model monitoring.
- Excellent communication skills and ability to work cross‑functionally.
Skills
pythonmachine learningawssqltensorflowdockercicd