Job Title : Azure MLOps Engineer
Location : PAN India (Hybrid Work Model)
Duration : 6 Months
Number of Openings : 1
Joining Time : Immediate
Experience Required :
- Relevant Experience : 6 to 8 years
- Total Experience : 6 to 8 years
Key Responsibilities :
Pipeline Development :
Design and implement robust ML pipelines using Azure Machine Learning services.Collaborate with data scientists to transition models from development to production.Strong knowledge of Azure Databricks.Automation and CI / CD :
Automate training, deployment, and monitoring of ML models using Azure DevOps.Implement CI / CD practices for model updates and versioning.Monitoring and Maintenance :
Monitor deployed models to ensure operational standards.Troubleshoot and resolve production issues related to ML models.Documentation and Compliance :
Maintain documentation of ML processes and pipelines.Ensure compliance with data governance and security standards.Collaboration :
Work with data engineers, software developers, and business stakeholders.Provide technical support and guidance on ML best practices.Technical Skills :
Mandatory : Azure MLOps, Azure Databricks, Python, PyTorchAdditional : TensorFlow, Scikit-learn, Docker, Kubernetes, Azure DevOps, MLflow, Kubeflow, Azure Monitor, Application InsightsProgramming Languages : Python or RDatabases : Azure Data Lake, Azure SQL Database