Applied Scientist II (AiRES)
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Responsibilities
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, validation, and serving.
- Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing, documentation, delivery, and maintenance).
- Research, design, and develop new AI technologies for personalization.
- Adopt or invent new machine learning and analytical techniques in the realm of recommendations and large language models.
- Collaborate with scientists, engineers, and product partners locally and abroad.
- Invent, experiment with, and launch new features.
- Iterate models and stay up-to-date on the latest enhancements in the Data Science ecosystem.
- Accelerate the development of multimodal Large Language Models and Generative Artificial Intelligence solutions.
- Own the end-to-end development and deployment at scale of Generative AI and ML solutions.
Requirements
- 3+ years of building models for business application experience.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python or related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
- 4+ years of designing experiments and statistical analysis of results experience.
Desired Qualifications
- Experience using Unix/Linux.
- Experience in professional software development.
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions.
Benefits
- Join a diverse team of technical experts in dozens of countries.
- Help customers achieve more with the AWS cloud.
- Build state-of-the-art Support organization.
- Drive business and operational improvements.
- Build solutions that will help drive a more efficient operations network and optimize cost.
- Partner with data engineering, Tooling team, operations, Training, Customer Service, Capacity planning and finance teams.
- Work with Amazon's heterogeneous data sources and large-scale computing resources.
- Be part of a company working to be the most customer-centric company on earth.
- Work for Amazon Web Services (AWS), one of the world’s most comprehensive and broadly adopted cloud platform.
- Benefit from an inclusive culture that empowers Amazonians.
Skills
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.\n\nTogether, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers:…
Company
AmazonJob Posted
2 weeks ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Applicants
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