Data Scientist, Generative AI Innovation Center

Amazon; London; On-site; GBP 50,000 - 100,000; Full time

Job summary

An innovative firm is seeking a talented ML Data Scientist to join their Generative AI Innovation Center. This role offers a unique opportunity to work at the cutting edge of Machine Learning and AI, applying advanced generative AI algorithms to solve complex real-world challenges. You will collaborate with a dynamic team of strategists, engineers, and architects, engaging directly with customers to deliver impactful solutions. If you have a strong background in machine learning, a passion for generative AI, and the ability to communicate effectively across diverse audiences, this is the perfect opportunity to make a significant impact in a fast-paced environment.

Qualifications

• Master's degree in statistics, data science, or related field required.
• Experience in building large scale ML models and deep learning frameworks.

Responsibilities

• Collaborate with ML scientists to develop generative AI algorithms.
• Interact with customers to implement generative AI solutions.

Skills

Machine Learning

Generative AI

Python

Deep Learning

Communication Skills

Education

Master's degree in a quantitative field

PhD in Computer Science or related field

Tools

TensorFlow

Keras

PyTorch

MXNet

AWS Redshift

AWS S3

AWS EC2

AWS Glue

Job description

Data Scientist, Generative AI Innovation Center

Job ID: 2810343 | AWS EMEA SARL (UK Branch)

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

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, you will:

1. Collaborate with ML scientists and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges.
2. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions, and guide customers on adoption patterns and paths to production.
3. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
4. Provide customer and market feedback to Product and Engineering teams to help define product direction.

About the team

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.

BASIC QUALIFICATIONS

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.
• Relevant experience in building large scale machine learning or deep learning models.
• Experience communicating across technical and non-technical audiences.
• Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
• Fluency in written and spoken English.

PREFERRED QUALIFICATIONS

• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).
• PhD or Master's degree in Computer Science, or related technical, math, or scientific field.
• Proven knowledge of Generative AI and hands-on experience building applications with large foundation models.
• Proven knowledge of AWS platform and tools.
• Hands-on experience building ML solutions on AWS.
• High impact thought leadership in AI/ML space through blog posts, public presentations, social media visibility, or publications.

Posted: November 5, 2024 (Updated about 18 hours ago)