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Urgent! Mlops Engineer Job | Capgemini

Mlops Engineer



Job description

Responsibilities


  • Experience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model Governance
  • Expert in Azure Databricks, Azure ML, Unity Catalog
  • Hands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, Docker
  • Experience in developing standards and practices for MLOPS life cycle


Required Skills


  • Experience in developing MLOps framework cutting ML lifecycle: model development, training, evaluation, deployment, monitoring including Model Governance
  • Expert in Azure Databricks, Azure ML, Unity Catalog
  • Hands-on experience with Azure DevOps, MLOPS CI/CD Pipelines, Python, Git, Docker
  • Experience in developing standards and practices for MLOPS life cycle


Preferred Skills


  • Strong understanding of data privacy, compliance, and responsible AI
  • Azure Data Factory (ADF)



Soft Skill


  • Excellent communication & stakeholder management skills
  • Experience working in cross-functional teams (data scientists, platform architects)


Required Skill Profession

Computer Occupations



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