MLOps Engineer

15 hours ago


bangalore, India Capgemini Full time

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)


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