MLOps Engineer

ResponsibilitiesExperience 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 cycleRequired SkillsExperience 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 cycle Preferred SkillsStrong understanding of data privacy, compliance, and responsible AIAzure Data Factory (ADF)Soft SkillExcellent communication & stakeholder management skillsExperience working in cross-functional teams (data scientists, platform architects)

Apply Now