MLOps Expert in Pharmaceutical Domain

3 days ago


Remote, Czech Republic beBeeMLOps Full time €70,000 - €85,000
MLOps Engineer Position

Overview of the Role:

  • This is a position that supports model deployment, orchestration, and operational processes within a pharmaceutical domain environment.
  • The ideal candidate will have a strong background in software development, data engineering, and machine learning.

MLOps Engineering Responsibilities:

Deployment and Orchestration
  • Support the deployment of models using AWS and Databricks.
  • Implement robust ML pipelines and production readiness rather than developing new models.
Data Ingestion and Deployment
  • Deploy R-based models using AWS and Databricks.
  • Implement data and model versioning strategies to ensure reproducibility and reliability.
  • Manage CI/CD pipelines using GitHub for seamless integration and deployment.
Orchestration and Troubleshooting
  • Use MLflow or equivalent tools to efficiently deploy and monitor models.
  • Troubleshoot issues in R/Python-based implementations to minimize downtime and ensure optimal performance.
Documentation and Compliance
  • Draft Standard Operating Procedures (SOPs) to ensure smooth operation and compliance.

Requirements:

  • 5 years of experience in MLOps, software development, or related roles.
  • Proven expertise with MLOps tools, 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.
  • Experience with cloud automation and orchestration preferably on AWS.
  • Understanding of data science concepts, machine learning algorithms, RESTful APIs, JSON, and other data exchange formats.
  • Pharma domain experience required.

This role focuses on enabling robust ML pipelines and production readiness. The ideal candidate should be passionate about MLOps engineering and have a strong background in software development and data engineering.



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