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Senior Machine Learning Engineer

Skills
DevopsAdoptionAutonomous SystemsBusinessContinuous IntegrationEvolutionMulti-Agent Systems
Role

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
  • Experience with standardized application templates such as PyVegas
  • Experience with evaluation 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
  • Proven ability to drive high-impact projects from research to production with minimal supervision

Nice to have

  • Open-source contributor
  • MLOps experience
  • Docker/Kubernetes familiarity

Day to day

  • Lead the design and implementation of internal Python SDK framework enhancements to improve functionality and developer experience.
  • Build and scale agentic workflows and multi-agent systems to execute complex business processes with minimal oversight.
  • Architect and deploy high-performance FastAPI services and maintain reliable CI/CD pipelines for ML tools and agent interactions.