Senior Applied Scientist, (AiRES)

AWS Support includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

Do you have proven analytical capabilities to identify business opportunities, develop advanced ML solution, Gen AI products, predictive models and optimization algorithms to help us build state of the art Support organization?

Team AiRES (Analytics, Insights, Research, Engineering and Science) is looking for a passionate Applied Scientist to deliver insights and identify opportunities through the use of statistics, machine learning, and deep learning to drive business and operational improvements. A successful candidate must be passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, Tooling team, operations, Training, Customer Service, Capacity planning and finance teams, driving optimization and prediction solutions across the network.

At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management.

• Key job responsibilities
• Team AiRES is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background who will be responsible for establishing scalable, efficient, automated processes for carrying out large-scale data analysis, machine-learning model development, model validation and serving customers. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).

As an Senior Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization and will adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with and launching new features, iterating models & stay up to date on latest enhancements in the Data Science ecosystem.

• A day in the life
• You will collaborate closely with other Data Scientists and leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions and will own the end to end development & deployment at scale of Generative AI and ML solutions developed by the team. Prior experience in Advanced Applied science & Engineering proficiency in deploying models & optimizing for the best optimal solution will be mandatory.

• 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 below, 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.

Basic qualifications

• - 3+ years of building machine learning models for business application experience
• - PhD, or Master's degree and 6+ years of applied research experience
• - Experience programming in Java, C++, Python or related language
• - Experience with neural deep learning methods and machine learning
• - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
• - 4+ years of applied research experience

Preferred qualifications

• - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• - Experience in applied research

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