MLOps Engineer

  • Full time
  • Prague
  • Posted 1 week ago
Databricks (nice to have)
MLOps (regular)
Agile/Scrum (regular)
SQL (regular)
Python (regular)
Microsoft Azure Cloud (advanced)
Azure DevOps (advanced)
MLOps Engineer

We are looking for a ML Ops Engineer who will be collaborate data scientists, data analysts and engineers to build a machine learning & analytics platform. 

  • Optimize, standardize and implement data science and machine learning solutions 
  • Participate in data science projects through the use of DevOps, code, experiment and model management, CI/CD 
  • Write clear and efficient code
  • Work closely with engineering to continuously improve the way we consume data and deploy models in production
  • Design and lead on monitoring, troubleshooting, debugging and incident management for our ML pipelines
  • Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughput, to infrastructure and deployment strategies

  • 2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models
  • Familiarity with Azure and Databricks
  • Advanced knowledge of Python and SQL, GIT
  • Previous experience with software development ( testing, CI, and DevOps tools )
  • Good understanding of data science lifecycle 
  • Familiarity with Agile/Scrum
  • Very good command of English
Nice to have:
  • Experience in productionizing ML tools, e.g. Dash, Shiny R, Streamlit
  • Knowledge of KNIME 

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