Senior Machine Learning Engineer

About the role

The Senior Machine Learning Engineer will lead development of Quantiphi’s internal Python SDK and agentic AI capabilities, designing feature enhancements, providing SDK support, building scalable FastAPI services, automating CI/CD pipelines with Jenkins and GitLab, and ensuring observability of agentic workflows using Galileo.

About the company

Quantiphi is an award‑winning Applied AI and Big Data software and services firm founded in 2013, headquartered in Boston with over 4,000 professionals worldwide. It delivers AI‑driven solutions across industries such as healthcare, financial services, consumer goods and manufacturing, and is an elite partner of NVIDIA, Google Cloud, AWS and Snowflake, emphasizing a transparent, diverse, growth‑focused culture.

Requirements

• Mastery of Python and its machine learning ecosystem with extensive experience building production‑ready services via FastAPI
• Proficiency in building and scaling agentic workflows and multi‑agent systems
• Hands‑on experience with Jenkins and GitLab Runners for automating software lifecycles and managing SDK distribution
• Experience with standardized application templates (e.g., PyVegas) and evaluation platforms like Galileo
• Proven ability to design scalable infrastructure and maintain complex software frameworks used by other engineering teams
• Strong analytical skills to debug complex SDK interactions and logic loops
• Ability to collaborate with cross‑functional teams to define requirements for autonomous systems and developer tools
• Proven ability to drive high‑impact projects from research to production with minimal supervision
• Contributions to open‑source Python SDKs or Agentic AI projects (preferred)
• Experience with MLOps practices for continuous deployment of agentic systems (preferred)
• Familiarity with containerization (Docker/Kubernetes) for deploying FastAPI‑based microservices (preferred)