Senior Data Scientist, Model Customization, Generative AI Innovation Center, Model Customization

Amazon; London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading cloud services provider in London is seeking an experienced Data Scientist to work on generative AI solutions. This role involves collaborating with customers, developing AI strategies, and designing experiments to solve complex problems. The ideal candidate has significant experience in AI technologies, Python, and a strong background in machine learning. Competitive salary and career growth opportunities are offered.

Benefits

Career growth opportunities

Flexible working culture

Qualifications

• Bachelor’s degree and 8 years of experience or Master’s degree and 4 years of experience.
• 2+ years of hands-on experience with generative AI technology.
• 5+ years of hands-on experience with Python to build, train, and evaluate models.

Responsibilities

• Collaborate with AI/ML scientists to evaluate generative AI solutions.
• Create and deliver best practice recommendations and tutorials.
• Interact with customers to understand their business problems.

Skills

Generative AI technology

Python

Algorithms and data structures

Machine learning

Numerical optimization

Education

Bachelor’s or Master’s degree

Tools

Amazon Bedrock

Amazon SageMaker

Job description

Overview

DESCRIPTION

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.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, 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\u2019re looking for Data 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
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
• Provide customer and market feedback to product and engineering teams to help define product direction

About the team

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\u2019t followed a traditional path, or includes alternative experiences, don\u2019t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world\u2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that\u2019s 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\u2019s 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 \u0026 Career Growth

We\u2019re continuously raising our performance bar as we strive to become Earth\u2019s Best Employer. That\u2019s why you\u2019ll 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\u2019s nothing we can\u2019t achieve in the cloud.

BASIC QUALIFICATIONS

• Bachelor\u2019s degree and 8 years of experience or Master\u2019s degree and 4 years of experience
• 2+ years of hands-on experience with generative AI technology
• 5+ 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, neural deep learning methods and/or machine learning
• 5+ years of hands on experience with Python to build, train, and evaluate models
• 4+ years of technical client engagement experience

PREFERRED QUALIFICATIONS

• Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
• Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches
• Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs
• Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools
• Hands on experience building cloud applications

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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\u2019re applying in isn\u2019t listed, please contact your Recruiting Partner.