Senior ML/MLOps Engineer

7 часов назад


Украина, Украина SANDBX Полный рабочий день 30 000 ₴ - 60 000 ₴ в год

SANDBX is looking for an ML/MLOps Engineer.

As MLE/MLOps you will be responsible for developing and maintaining ML-powered services. You will work closely with cross-functional teams and help bridge the gap between the algorithms/models developed by ML Researchers and other systems that utilize them.

Responsibilities:

  • Design, develop, and deploy ML-powered systems
  • Maintain and improve such systems over time
  • Work closely with ML researchers to make sure the systems are functioning correctly and utilize efficient tooling
  • Work closely with the infra team to maintain the stability of the systems, identify and help address possible issues with underlying environments
Requirements
  • 3 years of experience in software engineering
  • Good knowledge of Python and its ecosystem, specifically related to ML applications and their deployment (e.g. knowing how to take a model developed by researchers  and convert it into a live deployment)
  • Understanding of microservices and common architectural patterns used alongside them
  • Experience using any REST framework (FastAPI preferably, but anything similar will do)
  • Familiarity with Linux and its ecosystem of CLI tools
  • Experience with writing containerized applications using Docker
  • Experience with any testing framework
  • Understanding of DevOps principles (CI/CD, infrastructure-as-code)
  • Experience with deploying any ML-based app
  • willingness to learn and being open to new tools/approaches/tech stacks
  • Good communication skills
  • Effective communication in English
  • Understanding the general computational requirements of common ML algorithms
  • Experience using (one of) k8s/docker-compose/any major cloud provider

Would be a plus:

  • Understanding observability, metrics, alerts
  • Data engineering skills
  • Any prior MLE/ML research experience
  • Experience with any MLOps tools (like MLFlow, Pachyderm, KubeFlow, DVC, etc)
  • Familiarity with kubectl for debugging issues with k8s-based deployments
Benefits

We offer:
- Market competitive salary
- Small but highly skilled, technically savvy and passionate team
- Open, honest and inclusive culture
- Unlimited vacations and sick days
- Benefits&perks


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