Machine Learning Engineer 5 - Platform Engineer

The development engineer will be part of a team working on the development, operations and support of Adobe s AI Platform team. They will be responsible for the development of new features and maintenance of existing features and will be responsible for all phases of development, from early specs and definition to release. They are expected to be hands-on problem solver and we'll conversant in analyzing, architecting and implementing Golang/python-based world class high-quality software. Prior experience on ML solutions and cloud platform services, workflow orchestrators, data pipeline solutions would be a plus.

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

Requirements

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