System Development Engineer AWS NGDE

Description

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

Are you interested in Machine Learning and AI? Are you passionate about developing solutions to improve the data quality for ML models ? Are you passionate in writing high quality code? Then, this is the right opportunity for you!!!

AWS NGDE team is looking for talented System Development Engineers to develop optimized solutions to create high quality information for the ML services to improve the developer experience. Our teams mission is to make machine learning easy, stronger, and universal in the world of Natural Language and Speech. We developed thriving ML services such as Comprehend, Kendra, Lex and Transcribe. We continuously work on adding new services to our portfolio, which address real world problems through research and innovation. We build state-of-the-art services using the latest deep learning techniques and highly scalable distributed systems engineering.

System development Engineers in our team will be responsible to dive deep into the new data requirements for the ML models and deliver optimized solutions in a massive scale. He/She will refactor and optimize our existing solutions to enhance the ML models. He/She will work with external teams and set-up high coding standards to ensure the quality of the delivery. He/She will innovate to continuously improve the coverage and quality of the information. He/She will play a major role in the next phase of AWS innovation in ML and AI.

Key job responsibilities

• Develop & Deliver high quality and optimized solutions to create high quality information for the ML services and enhance the ML models.
• Partner effectively with the Product or science teams to understand the needs and deliver with high quality.
• Innovate new ideas and implement to continuously improve the coverage and quality of the information.
• Own the infrastructure and mitigate the risks on time.
• Mentor new engineers
  
  

About The Team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred 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.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

• B.E. in Computer Science or equivalent qualification.
• 2+ years of experience in system development and automation. (Using C++/Java/Python)
• Demonstrated skill and passion for problem solving and operational excellence.
  
  

Preferred Qualifications

• Experience in writing test assertions
• Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
  
  

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - ADCI - Karnataka

Job ID: A2998277

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