Azure Machine Learning Engineer and Automation Specialist

21 hours ago


Mount Abu, Rajasthan, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Azure MLOps Engineer

Duration: 6 Months Contract

Number of Openings: 1 Position Available

Joining Time: Immediate Start Required

Experience Needed:

  • Required Experience: 6 to 8 Years of Professional Experience in the Field
  • Total Experience: 6 to 8 Years of Relevant Work Experience

Key Responsibilities and Skills:

Pipeline Development and Deployment:
  • Design, implement, and maintain robust ML pipelines using Azure Machine Learning services.
  • Collaborate with data scientists to transition models from development to production environments.
  • Strong knowledge of Azure Databricks is a must.
Automation and Continuous Integration/Continuous Deployment (CI/CD):
  • Automate training, deployment, and monitoring of ML models using Azure DevOps.
  • Implement CI/CD practices for model updates and versioning to ensure smooth workflow.
Monitoring and Maintenance:
  • Regularly monitor deployed models to ensure they meet operational standards.
  • Troubleshoot and resolve production issues related to ML models promptly.
Documentation and Compliance:
  • Maintain accurate documentation of ML processes and pipelines.
  • Ensure compliance with data governance and security standards at all times.
Collaboration and Teamwork:
  • Work closely with data engineers, software developers, and business stakeholders.
  • Provide technical support and guidance on ML best practices to team members.
Technical Requirements:
  • Mandatory Skills: Azure MLOps, Azure Databricks, Python, PyTorch
  • Additional Skills: 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


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