Job description
- Masters degree (or European advanced degree equivalent) in Computer Science, or related technical, math, or scientific field
- Relevant experience in building large scale machine learning or deep learning models
- Experience communicating across technical and non-technical audiences
- Experience in using Python, R or Matlab or other statistical/machine learning software language and statistical modelling/machine learning
- Fluency in written and spoken English
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, 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’re looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As an ML Data Scientist specialising in generative AI, you will:
- Collaborate with ML scientist and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges
- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide them on adoption patterns and paths for generative AI
- Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
- Provide customer and market feedback to Product and Engineering teams to help define product direction
London, GBR
- Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
- PhD degree in Computer Science, or related technical, math, or scientific field
- Proven knowledge of AWS platform and tools
- Hands-on experience of building ML solutions on AWS
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884 (tel: +448000869884). If calling from Ireland, please dial +353 1800 851 489 (tel: +3531800851489).
AWS EMEA SARL (UK Branch)
https://www.aboutamazon.com/
Seattle, United States
Andrew Jassy
$10+ billion (USD)
10000+ Employees
Company - Public
Internet & Web Services
1994