Lead the design and implementation of Feature Enhancements for internal Python SDK frameworks.
Provide expert-level technical support and proactive maintenance for the Python SDK ecosystem.
Develop and scale agentic workflows using modern Agentic Frameworks.
Architect and deploy scalable, high-performance APIs using FastAPI.
Design and maintain robust automated pipelines using Jenkins and GitLab Runners.
Utilize Galileo for model evaluation and observability.

3-6+ years of experience in Machine Learning engineering.
Mastery of Python and its machine learning ecosystem.
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.
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.

Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
Work where innovation happens
work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
Opportunities to learn, grow, and interact with colleagues from varied experience and backgrounds around the globe.

Senior Machine Learning Engineer

Key skills