At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer
Requirements
- Strong proficiency in Python and cloud services (AWS, GCP, Azure)
- Familiarity with Docker, Kubernetes, MLflow, and Databricks
- Experience with monitoring frameworks (Prometheus, Grafana)
- Exposure to distributed computing or big data frameworks (Spark)
- Experience with agentic frameworks (Pydantic AI, LangGraph, CrewAI)
- Experience with RAG architectures (vector database, search)
Responsibilities
- Design, build and maintain MLOps systems for AI/ML projects
- Support containerization and deployment of AI/ML workloads using Docker and Kubernetes
- Design and implement evaluation/testing frameworks for AI/ML workloads
- Assist in monitoring, logging, and maintaining AI/ML systems in production
- Apply strong analytical and problem-solving skills to improve system reliability
- Support and comply with the company’s Quality Management System policies and procedures
- Maintain regular and reliable attendance
Other
- Master’s or PhD candidate in Computer Science, Data Engineering, or related field
- Authorization to work in the United States without sponsorship
- Ability to act with an inclusion mindset and model these behaviors for the organization
- Display effective teamwork and communication in collaborative settings
- Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork
