Machine Learning Engineer 5.5

What you'll Do

1. This is an individual contributor position.
2. Hands on product/solution development knowledge are a must.
3. The position involves conceptualization of a product, design, development, debugging/triaging, deployment at scale, monitoring, analyzing, etc
4. Planning, effort estimation and risk analysis of a project.
5. The incumbent will plan, evaluate industry alternatives, design and drive new components, solutions, workflow, features, etc
6. Should take the initiative to drive frugality through optimizations without compromising stability or resiliency.

Requirements

1. Bachelor’s / Master’s degree in engineering.
2. 12+ years of relevant industry experience.
3. 3+ years of experience as a lead/architect.
4. A proven expertise with building large scale platforms on Kubernetes.
5. Proven programming skills with languages such as python and go-lang.
6. Experience of the latest ML development tools.
7. Track record of delivering cloud-scale, data-driven products, and services that are widely adopted with large customer bases
8. Exposure to container runtime environments
9. Experience in building, deploying, and managing infrastructures in public clouds (specifically AWS)