Senior Data Scientist

1 day ago

Bareilly, Uttar Pradesh, India beBeeMachineLearningEngineer Full time ₹ 20,00,000 - ₹ 25,00,000
Machine Learning Engineer (Azure MLOps)

We are seeking a highly skilled Machine Learning Engineer to join our team as an Azure MLOps Engineer. As a key member of our data science team, you will design and implement robust ML pipelines using Azure Machine Learning services.

This is a 6-month contract position with immediate start. You will work on a variety of projects, including pipeline development, automation and CI/CD, monitoring and maintenance, documentation and compliance, and collaboration.

To be successful in this role, you should have strong knowledge of Azure Databricks, experience with Python and PyTorch, and excellent communication skills.

  • 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.

Requirements:

  • Bachelor's degree in Computer Science or related field.
  • Minimum 6 years of experience in machine learning engineering.
  • Strong knowledge of Azure Databricks and Azure Machine Learning services.
  • Excellent communication and teamwork skills.

Preferred Skills:

  • Experience with TensorFlow and Scikit-learn.
  • Familiarity with Docker and Kubernetes.
  • Knowledge of Azure Monitor and Application Insights.

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