Leading AI Engineering Professional

1 week ago

Rajkot, Gujarat, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Machine Learning Engineer Position

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, 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

Benefits:

  • Opportunity to work with cutting-edge technology in the field of machine learning.
  • Chance to collaborate with experienced professionals in the industry.
  • Professional growth and development opportunities.

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