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 GovernanceExpert in Azure Databricks, Azure ML, Unity CatalogHands-on experience with Azure DevOps, MLOPS CI / CD Pipelines, Python, Git, DockerExperience in developing standards and practices for MLOPS life cyclePreferred Skills
Strong understanding of data privacy, compliance, and responsible AIAzure Data Factory (ADF)Soft Skill
Excellent communication & stakeholder management skillsExperience working in cross-functional teams (data scientists, platform architects)Skills Required
Azure ML, Git, MLops, Docker, Azure Databricks, Python, Azure Devops