Amazon Machine Learning Engineer Professional Services AWS Industries 

India, Karnataka, Bengaluru 

150015926

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.We’re looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Key job responsibilities- Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platformAbout the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of technical specialist, design and architecture experience
- 5+ years of software development with object oriented language experience
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience

- Bachelor’s degree in computer science or equivalent with 8+ years of relevant working experience, or Master’s degree in computer science or equivalent with 5+ years of working experience
- Experience related to machine learning, deep learning, NLP, CV, GNN, or distributed training
- Experience related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2
- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models