Applied Scientist, Generative AI Innovation Center

Amazon; Asti; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading cloud service provider in Italy is seeking an Applied Scientist for the Generative AI Innovation Center. This role involves designing and optimizing generative AI solutions and collaborating directly with customers. Candidates should have a PhD or equivalent experience in a technical field, strong skills in Python, and a background in generative AI. The position is full-time with opportunities for travel and professional development.

Competenze

• 5+ years of hands-on experience with Python to build and evaluate models.
• Experience with design and optimization of generative AI solutions.
• Scientific publication track record at top-tier AI/ML/NLP conferences.

Mansioni

• Collaborate with scientists to design and develop generative AI solutions.
• Interact with customers to understand their business problems.
• Optimize solutions via model selection and training.

Conoscenze

Python

Generative AI

Algorithms and data structures

Numerical optimization

Formazione

PhD in computer science or related field

Master’s degree plus relevant experience

Strumenti

Amazon Bedrock

Amazon SageMaker

Descrizione del lavoro

Applied Scientist, Generative AI Innovation Center

Job ID: 3081135 | Amazon Web Services Korea LLC

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Responsibilities

• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
• Provide customer and market feedback to product and engineering teams to help define product direction

A day in the life

This is a customer facing role. You will be required to travel to client locations and deliver professional services as needed.

About the team

Sales, Marketing and Global Services (SMGS)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. The Professional Services team is part of Global Services.

About AWS

Diverse Experiences

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

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Basic Qualifications

- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, or Master’s degree plus 5 years of relevant work experience

- 5+ years of hands on experience with Python to build, train, and evaluate models.

- 2+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing.

- Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies.

- Scientific publication track record at top-tier AI/ML/NLP conferences or journals.

Preferred Qualifications

- Years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.

- Demonstrated experience with building LLM-powered agentic workflow, orchestration, and agent customization

- Experience with model optimization techniques (quantization, distillation, compression, inference optimization etc.)

- Hands-on experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker

- Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts

Awards and inclusivity language: 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.

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