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UG :- - Not Required
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PG :- - Not Required
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No of position :- ( 1 )
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Post :- 29th Jul 2022
- Responsible for deploying and managing components including Machine Learning
- models on-prem Kubernetes and Azure cloud
- Support building custom images for ML environments including python packages, pickled models.
- The role will require extensive experience and knowledge with Kubernetes architecture to help with
- all Kubernetes clusters and deployments
- SME in Kubernetes and Docker
- Participate in research, POC for 3rd party integrations with Kubernetes, and testing new Kubernetes
- features and technologies
- Participate in technical design discussions, influencing the team in strategic decisions
- Work with data scientists / ML engineers, software developers and interfacing internal customers to
- translate their requirements to features and develop those solutions
- Responsible for other duties/projects as assigned by business management / leadership.
- Qualifications
- Minimum Required
- 5+ years' experience with DevOps or Build Engineer
- 3+ years' experience with hands-on management and administration of Kubernetes platforms and
- clusters
- 3+ years' network experience deploying applications within Kubernetes.
- 3+ years' experience with containers and orchestration services like Docker, Kubernetes etc.
- Strong experience in Python scripting
- In-depth, hands-on experience with Linux, networking, server, and cloud architectures