Machine Learning Operations Engineer

4 weeks 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 machine learning pipelines using cloud-native tools and technologies.
  • Collaborate with cross-functional teams to integrate machine learning models into production environments.
  • Develop and maintain secure, reliable, and efficient infrastructure for machine learning workloads.
  • Implement monitoring, logging, and alerting tools to ensure seamless operation of machine learning pipelines.
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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