Machine Learning Engineer 3

2 months ago

Noida, India Adobe Full time

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours

The Opportunity 

About Adobe’s Sensei Platform Group

Sensei Platform has an exciting and ambitious mission: Enable Adobe Sensei to craft, develop, operate, and scale robust cloud solutions for ML workflows. We are the partner of choice for the business because we make the lives of our engineers and researchers better through streamlined workflows demonstrating the newest technology, framework and services. 

Sensei Platform provides hosting, operations, security, and architectural support to Adobe Sensei’s growing suite of solution infrastructure and clusters, frameworks, SDKs, CI/CD solutions for ML data processing and transformation, ML Training and ML Inference . 

For Adobe to provide compelling products, which are powered by ML/AI, to its customers, Adobe Sensei needs to craft, implement and maintain highly available and responsive cloud solutions for both data and control planes. 

Position Summary

The development engineer will be part of a team working on the development, operations and support of Adobe’s Sensei Platform group. 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 well conversant in analyzing, architecting and implementing Golang/python/Java-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

Focus all above for current or future products.

Should be intelligent to analyze the business constraints and provide competent alternatives and phased approaches

Should take the initiative to drive frugality through optimizations without compromising stability or resiliency.

What you need to succeed 

/ degree in Computer Science from a premiere institute.

Should have 4- 8years of experience in software development.

Should have excellent computer science fundamentals and a good understanding of architecture, design and performance.

Proficient in Java/Python, data structure and algorithm.

Should be hands-on in writing code that is reliable, maintainable, secure, performance optimized, multi-platform and world-ready

Good understanding of object oriented design and knowledge of product life cycles and associated issues.

Technical depth in operating systems, computer architecture and OS internals.

Technical depth in Cloud Computing, Cloud Platforms and Services architecture and design

Good to have

Foundational knowledge in, and fundamentals of Machine Learning and Artificial Intelligence

Experience with ML Lifecycle, AI Ethics, ML Frameworks like TensorFlow, Caffe, Torch, and other similar frameworks

Experience with Amazon Web Services, Microsoft Azure, Google Compute Engine

Experience with Apache Spark

Experience with cluster managers and frameworks like Kubernetes

Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. 

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