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Open positions: 2
Role Title: ML Ops Engineer
Global Career Band: 5
Location: (Country/City) :Hyderabad
Why join us? (Overview of Dept./Function)
The Opportunity: (Brief Overview of the Role)
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. The ideal candidate will have a strong background in both machine learning and software engineering, with experience in DevOps practices and cloud computing.
Qualifications External/Internal
What you will need to succeed in the role: (Minimum Qualification and Skills Required)
Bachelors degree in Computer Science, Information Technology, or a related field; relevant certifications such as Microsoft Certified: Azure Administrator Associate or Microsoft Certified: Azure Solutions Architect Expert preferred. Strong proficiency in Python programming and familiarity with machine learning frame works such as TensorFlow or Pytorch.
Terraform, Jenkins but more importantly commercial experience with building MLOps pipelines
Proficiency in implementing and managing security, identity, and access management solutions, leveraging Active Directory, Security Center, and other related tools.
Hands on experience with scripting and automation using tools such as Azure Resource Manager templates, PowerShell, Ansible, or other relevant technologies.
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.
Business: Global Ops Automation IT (GOA IT)
Open positions: 2
Role Title: ML Ops Engineer
Global Career Band: 5
Location: (Country/City) :Hyderabad
Why join us? (Overview of Dept./Function)
The Opportunity: (Brief Overview of the Role)
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. The ideal candidate will have a strong background in both machine learning and software engineering, with experience in DevOps practices and cloud computing.
Qualifications External/Internal
What you will need to succeed in the role: (Minimum Qualification and Skills Required)
Bachelors degree in Computer Science, Information Technology, or a related field; relevant certifications such as Microsoft Certified: Azure Administrator Associate or Microsoft Certified: Azure Solutions Architect Expert preferred. Strong proficiency in Python programming and familiarity with machine learning frame works such as TensorFlow or Pytorch.
Terraform, Jenkins but more importantly commercial experience with building MLOps pipelines
Proficiency in implementing and managing security, identity, and access management solutions, leveraging Active Directory, Security Center, and other related tools.
Hands on experience with scripting and automation using tools such as Azure Resource Manager templates, PowerShell, Ansible, or other relevant technologies.
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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