ML Ops

3 weeks ago

hyderabad, India TapTalent.ai Full time

Main Roles and Responsibilities

  • Design develop and implement MLOps pipelines for the continuous deployment and integration of machine learning models.
  • Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes.
  • Run machine learning feature engineering tests and improve models based on those tests.
  • Automate the training testing and deployment processes for machine learning models.
  • Continuously monitor and maintain models in production ensuring optimal performance accuracy and reliability.
  • Implement best practices for version control model reproducibility and governance.
  • Optimize machine learning pipelines for scalability efficiency and costeffectiveness.
  • Troubleshoot and resolve issues related to model deployment and performance.
  • Ensure compliance with security and data privacy standards in all MLOps activities.
  • Keep up to date with the latest MLOps tools technologies and trends.
  • Provide support and guidance to other team members on MLOps practices.
  • Select appropriate data sets and representation methods perform statistical analysis and verify data quality
  • identify differences in data distribution that affects model performance
  • Develop machine learning apps according to client requirements and extend machine learning libraries

Required skills and experience

  • 3 years of experience in Azure Azure machine learning MLOps DevOps or a related field.
  • Strong understanding of machine learning principles and model lifecycle management.
  • Proficiency in programming languages such as Python with handson experience in machine learning frameworks like TensorFlow PyTorch or Scikitlearn.
  • Experience with cloud platforms like Azure AWS or and their respective machine learning services.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Knowledge of CI/CD pipelines automation tools and version control systems like Git.
  • Strong problemsolving skills and ability to troubleshoot complex issues.
  • Experience with monitoring tools and practices for model performance in production.
  • Ability to work collaboratively in crossfunctional teams.

Nice to have:

  • Bachelors degree in computer science Data Science or a related field.
  • Azure ML Studio Data bricks Fabric
  • Familiarity with agile software development lifecycle (SCRUM Kanban etc.)

Remote Work :

No

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