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Amazon Device Associate III Quality Services Tech Support 
India, Karnataka, Bengaluru 
170888789

18.05.2025
DESCRIPTION

You will enjoy building and expanding your technical skills, and using these to help customers understand how to architect and implement systems and applications. You will be comfortable working alongside partners, including systems integrators and Independent Software Providers (ISVs), to deliver the best possible customer outcomes. You will be happy to roll-up your sleeves, and guide customers deconstruct ambiguity.
Responsibilities include:- Solutions - Demonstrated consulting skills, ideally through previous roles and delivery of on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding and extracting customer requirements, creating consulting proposals and packaged data solution offerings, and supporting commercial negotiations- Delivery - Engagements will include onsite projects delivering custom Data and AI solutions, and proving the use of AWS data and AI services. Strong verbal and written communication skills, with the ability to work effectively across internal and external organisations.
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.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

BASIC QUALIFICATIONS

- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Eligibility for the UK Security Clearance


PREFERRED QUALIFICATIONS

- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet