Senior Data Engineer

Keebo

Remote
Remote
Mlops best practices
Ai/ml platform design
Data pipelines
Design and implement an AI/ML platform that balances speed of development with cloud costs

Job Summary

  • Design and implement an AI/ML platform that balances speed of development with cloud costs.
  • Collaborate with the rest of the AI team achieve goals that drastically impact the revenue of the business.
  • Mentor AI engineers in data engineering and MLOps best practices.

Matching Summary

Design and implement an AI/ML platform that balances speed of development with cloud costs.

Skills & Requirements

Must-have

  • MLOps best practices
  • AI/ML platform design
  • data pipelines
  • data quality
  • data modeling
  • automated testing
  • CI/CD
  • model monitoring
  • Python and Golang
  • scalable architectures
  • resilient architectures
  • distributed environment

Nice-to-have

  • Java experience
  • Google Cloud experience
  • AI/ML engineering experience

Key Requirements

  • Experience as a data engineer
  • Experience with MLOps
  • Experience with GCP or AWS
  • Skilled in designing and implementing scalable, resilient data engineering and MLOps architectures
  • Skilled in being self-directed
  • Strong communication skills
  • Skilled in mentoring engineers
  • Ability to work in a fast-paced early stage startup
  • Skilled at communicating effectively in a distributed environment
  • Strong self-motivation, initiative, and adaptability

Work Rights

Not specified

Tailored Resume

Cover Letter