Deep Learning Architect, Amazon Machine Learning

10 hours ago

Bengaluru, India AISPL - Karnataka Full time

Bachelor of Engineering degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- Experience in building large scale enterprise IT systems in a production environment, public cloud computing experience (like AWS, or other large scale cloud providers)
- Experience coding in Python, R, Matlab, Java or other modern programming languages
- Experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

Job summary
Machine Learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.

The ML Solutions Lab team within AWS provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and the cloud. As a Deep Learning Architect, you'll partner with technology and business teams to build solutions that surprise and delight our customers.

You will be working with terabytes of text, images, and other types of data to solve real-world problems. You will help build well-architected solutions with AWS, and particularly with AI/ML Services, to help customers solve their critical business cases, such as autonomous driving, supply chain optimization, predictive maintenance, fraud detection and more. You will support our customers on their ML journey by helping to develop Proof of Concepts, and at the same time helping them understand the technology behind the scientific choices you make..

We’re looking for Architects and System/Software Engineers capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities
- Use ML tools, such as Amazon SageMaker and Amazon Simple Storage Service, to provide a scalable cloud environment for our customers to label data, build, train, tune and deploy their models
- Collaborate with our Data Scientists to create and develop scalable ML solutions for business problems
- Interact with customers directly to understand the business problem, help and aid them in implementation of their ML ecosystem
- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
- Work closely with account teams, research scientist teams and product engineering teams to drive model implementations and new algorithms
- This position requires travel of up to 10-15% (pending COVID restrictions)
- Proven knowledge of deep learning, machine learning and statistics
- Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, Caffe, Torch, Theano or similar
- In-depth working knowledge of DevOps, Serverless, Big Data and Analytics technologies

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