Senior Engineer

Job Title : Azure MLOps Engineer

Location :

PAN India (Hybrid Work Model)

Duration : 6 Months

Number of Openings : 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, PyTorch

Additional :

TensorFlow, Scikit-learn, Docker, Kubernetes, Azure DevOps, MLflow, Kubeflow, Azure Monitor, Application Insights

Programming Languages :

Python or R

Databases :

Azure Data Lake, Azure SQL Database