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Senior Machine Learning Engineer
Skills
DevopsAdoptionAutonomous SystemsBusinessContinuous IntegrationEvolutionMulti-Agent Systems
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Mastery of Python and the machine learning ecosystem
- Extensive experience building production-ready services with FastAPI
- Proficiency in building and scaling agentic workflows and multi-agent systems
- Hands-on experience with Jenkins and GitLab Runners for CI/CD automation
- Experience working with standardized application templates such as PyVegas
- Experience with evaluation and observability platforms like Galileo
- Proven ability to design scalable infrastructure and maintain complex software frameworks
- Strong analytical skills to debug complex SDK interactions and logic loops
- Ability to collaborate with cross-functional teams on autonomous systems and developer tools
- Proven ability to drive high-impact projects from research to production with minimal supervision
Nice to have
- Open-source contributor
- MLOps mindset
- Containerization familiarity
Day to day
- Lead the design and enhancement of internal Python SDK frameworks to improve functionality and developer experience.
- Provide expert technical support and proactive maintenance for the Python SDK ecosystem to ensure stability and seamless adoption.
- Develop scalable agentic workflows and high-performance FastAPI services that power autonomous systems and machine learning tools.