Senior MLOps Engineer

US-based company that provides SaaS solutions to law firms and financial services companies.
Kyiv, Ukraine, 02000Warsaw, PolandZagreb, Croatia
DevOps
Senior Software Engineer
Hybrid
AI · Enterprise SaaS · Finance

Description For Senior MLOps Engineer

ELEKS DevOps Office is seeking a Senior MLOps Engineer to join their team in Ukraine, Poland, or Croatia. This role is for a US-based client that provides SaaS solutions to law firms and financial services companies. The ideal candidate will have extensive experience in Azure, infrastructure management, and deploying ML solutions to production.

Key responsibilities include supporting existing environments, managing deployment processes, automating build and configuration tasks, and maintaining documentation. The role requires expertise in solution configuration design, engineering best practices, and Azure services, particularly in data pipeline components and CI/CD.

This position offers the opportunity to work on challenging tasks in a dynamic environment with low bureaucracy. You'll be part of a professional team, working closely with customers and having ample opportunities for competence development. The ideal candidate will have a strong background in MLOps, with experience in NLP, NLG, and NLU-focused solutions.

If you're passionate about DevOps, machine learning operations, and want to contribute to innovative SaaS solutions in the legal and financial sectors, this role at ELEKS could be an excellent fit for your career growth.

Last updated 14 days ago

Responsibilities For Senior MLOps Engineer

  • Support existing environments: local and at customer side
  • Provide deployment/delivery process
  • Write and modify scripts to automate such processes as build, deployment, configuration update, etc
  • Help team with configuration and administration tasks
  • Develop and maintain document setup and configuration instructions, troubleshooting tips

Requirements For Senior MLOps Engineer

Python
  • Experience with solution configuration design
  • Experience with engineering best practices, including analyzing, designing, developing, deploying and supporting solution infrastructure implementations and upgrades
  • Experience in Azure beyond basic provisioning, especially data pipeline components, CI/CD and ML-relevant managed services
  • Experience managing infrastructure at scale and operationalizing API services from ground up
  • Proven experience in launching NLP, NLG, NLU-focused solutions to production
  • Experience in software development (Python, .NET) would be a plus

Benefits For Senior MLOps Engineer

  • Close cooperation with a customer
  • Challenging tasks
  • Competence development
  • Team of professionals
  • Dynamic environment with a low level of bureaucracy

Interested in this job?

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