Machine Learning Operations Specialist

3 days ago

ajmer, India beBeeMLOps Full time

Machine Learning Operations SpecialistWe are seeking an experienced professional to design, build, and manage scalable machine learning operations on the cloud.The role involves automating ML workflows, operationalizing models, enabling reproducible pipelines, and ensuring governance and monitoring across the ML lifecycle.Pipeline DevelopmentBuild automated ML pipelines for training, validation, deployment, and batch/real-time inference.Use workflows, jobs, repos, and Delta Live Tables where applicable.Implement distributed training and inference pipelines using MLflow + PySpark.Model Lifecycle ManagementManage model versioning and promotion across dev → staging → production using MLflow Model Registry.Create reproducible workflows for model packaging, deployment, and rollback.CI/CD IntegrationBuild 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 PipelinesCollaborate with data engineers to build optimized Delta Lake pipelines (Bronze/Silver/Gold architecture).Implement feature engineering workflows and support feature reuse at scale.Monitoring & GovernanceSet up model monitoring for performance, drift, data quality, and lineage.Use Databricks-native tools, MLflow metrics, and cloud monitoring services (Azure/AWS). Ensure compliance through logging, auditing, permissions, and environment governance.Cross-Functional CollaborationWork closely with data scientists, data engineers, cloud teams, and product teams.Document workflows, best practices, and MLOps reusable components.

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