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, including support for customers who require specialized security solutions for their cloud services.
Are you interested in Machine Learning and AI? Are you passionate about delivering for our ML initiatives? Do you enjoy working in a fast-paced environment and driving initiatives to improve the quality of the data?

Then, this is the right opportunity for you!!!

AWS NGDE team is looking for talented Application Engineers experienced in developing processes & automations, tools and complex scripts to support the ML/AI initiatives driven by Amazon Q Builder Science team.
Our team’s 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 CodeWhisperer, 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.
Application Engineers in our team will be responsible to work with the partner teams to understand the product requirements and deliver in high quality. He/She will work on real world problems affecting the developer productivity, testing and operations. He/She will contribute with new ideas and implement automation to improve the data quality. He/She will play a major role in the next phase of AWS innovation in ML and AI.

Key job responsibilities
• Develop high quality solutions to the requirements from data science team to generate quality data or information.
• Partner effectively with the partner teams to understand the needs and deliver with high quality.
• Implement automation or tools to improve the process or quality
• Mentor new engineers

A day in the life
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

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 technical support experience
– Good knowledge in Programming in either one of the languages – Java/Python/C#/TypesScript/Go/Ruby
– Good knowledge in operating systems, networking and troubleshooting
– Demonstrated skill and passion for problem solving and operational excellence.

PREFERRED QUALIFICATIONS

– Experienced in developing tools and automation
– Experience in taking a project from scoping requirements through launch of the project
– Experience in working with users, other technical teams, and management to collect requirements, describe software product features, and technical designs