Cloud-Scale MLOps Specialist

7 days ago


india beBeeMachineLearning Full time

Job DescriptionWe are seeking an experienced MLOps developer to design, build and manage scalable machine learning operations on the Databricks Lakehouse Platform.The role involves automating ML workflows, operationalizing models, enabling reproducible pipelines and ensuring governance and monitoring across the ML lifecycle.Key ResponsibilitiesDevelop Scalable MLOps Pipelines: Build automated ML pipelines for training, validation, deployment and batch/real-time inference using Databricks Workflows, Jobs, Repos and Delta Live Tables.Model Lifecycle Management: Manage model versioning and promotion across dev → staging → production using MLflow Model Registry, create reproducible workflows for model packaging, deployment and rollback.CI/CD Integration: Build and integrate ML pipelines with CI/CD using Azure DevOps, GitHub Actions or Jenkins, automate testing, validation and deployment for ML artifacts, notebooks and infrastructure.Feature Engineering & Data Pipelines: Collaborate with data engineering teams to build optimized Delta Lake pipelines (Bronze/Silver/Gold architecture), implement feature engineering workflows and support feature reuse at scale.Monitoring & Governance: Set up model monitoring for performance, drift, data quality and lineage using Databricks-native tools, MLflow metrics and cloud monitoring services (Azure/AWS), ensure compliance through logging, auditing, permissions and environment governance.



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