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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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