Senior MLOps Engineer @

4 days ago

Remote, Czech Republic SNI Full time
  • 5 years of experience in MLOps, software development, or related roles.
  • Proven expertise with MLOps tools (SageMaker or Databricks), CI/CD, and monitoring solutions.
  • Strong Python programming skills; experience with R and SAS is a plus.
  • Knowledge of package management, dependency tracking, and version control.
  • Solid understanding of data engineering, ETL processes, and data modeling.
  • Familiarity with big data technologies (Hadoop, Spark).
  • Experience with cloud automation and orchestration (preferably AWS).
  • Understanding of data science concepts, machine learning algorithms, RESTful APIs, JSON, and other data exchange formats.
  • Pharma domain experience (must-have).

We are looking for an experienced MLOps Engineer to join the client team. The ideal candidate will support model deployment, orchestration, and operational processes within a pharmaceutical domain environment. This role focuses on enabling robust ML pipelines and production readiness rather than developing new models.

,[Support data ingestion and deployment of models (R and Python)., Deploy and orchestrate R-based models., Implement data and model versioning strategies., Manage and support CI/CD pipelines (GitHub)., Orchestrate ML workflows (MLflow or equivalent)., Troubleshoot issues in R/Python-based implementations., Draft and maintain Standard Operating Procedures (SOPs).] Requirements: Python, R Shiny, Machine learning, Databricks, AWS, sagemaker

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