MLOps Engineer

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)