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• Machine Learning Operations
• Kubernetes (K8s) for MLP Ops
• AI/ML, Jupiter Notebook, and Jenkins

• The role is for Big Data Engineer with MLP Ops SRE expertise with 7+ years of role experience
• A solid understanding of AI/ML, Jupiter Notebook, and Jenkins is essential for this role.
• The associate should also have a basic understanding of Kubernetes (K8s) and experience with Kubeflow for MLOps.
• Person will be responsible for end-to-end machine learning lifecycle on our in-house Kubernetes (K8s) cluster
• Ensuring the stability and availability of production services is a key responsibility.
• Handle incident resolution when they occur. Maintain a culture of continuous learning and improvement in the incident resolution process.
• The role involves developing best practices for operations.
• The individual will be expected to create and maintain documentation as needed.
• Associate need to work as per roaster which may include weekend support.
• This role includes on-call duties to handle any urgent issues that occur outside of regular business hours.
• Associate need to work with team member across different geographical location.
• The role involves close collaboration with multiple teams to jointly resolve any major production issues.

Minimum Years of Experience: 8-10 years

1. Support, Analyze
2. Solution implementation
3. Testing