Machine Learning Operations Engineer

6 days ago


Hyderabad, Telangana, India Virtusa Full time
Job Title: ML Ops Engineer

We are seeking a talented ML Ops engineer to join our team and play a key role in deploying, managing and optimizing machine learning models in production.

Key Responsibilities:
  • Design and implement scalable and secure machine learning pipelines using cloud-native tools and technologies.
  • Collaborate with data scientists and engineers to develop and deploy machine learning models in production.
  • Ensure data quality, integrity, and security throughout the machine learning lifecycle.
  • Develop and maintain automation scripts and tools to streamline machine learning workflows.
  • Work closely with cross-functional teams to identify and prioritize machine learning initiatives.
Requirements:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Strong proficiency in Python programming and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
  • Commercial experience with building MLOps pipelines using Terraform, Jenkins, and other relevant tools.
  • Proficiency in implementing and managing security, identity, and access management solutions.
  • Hands-on experience with scripting and automation using tools such as Azure Resource Manager templates, PowerShell, Ansible, or other relevant technologies.
Preferred Qualifications:
  • Relevant certifications such as Microsoft Certified: Azure Administrator Associate or Microsoft Certified: Azure Solutions Architect Expert.
  • Strong understanding of networking concepts and experience in configuring and troubleshooting Azure/AWS Virtual Networks, VPN gateways, and ExpressRoute.
  • Familiarity with cloud-native monitoring, logging, and alerting tools such as Monitor, Log Analytics, Application Insights, and their integration with respective cloud services and applications.


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