Amazon Web Services (AWS)

Senior Applied Scientist, ProServe Generative AI Innovation Center

Stellenbeschreibung:

Senior Applied Scientist, ProServe Generative AI Innovation Center

The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

As an applied scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. 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 Applied 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:

  • Collaborate with ML scientists and architects to research, design, develop, and evaluate state-of-the-art generative AI algorithms to address real-world challenges across industries
  • Lead customer interactions to deeply understand the business problem, and help them in defining and implementing generative AI solutions and guide customers on adoption patterns and paths to production
  • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and develop new solutions
  • Create and deliver best practice recommendations, scientific artifacts, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
  • Effectively communicate complex ML results and insights to diverse audiences, translating technical concepts for non-technical stakeholders while providing appropriate depth for technical audiences in both public-facing publications and internal knowledge sharing sessions

About The Team: The Generative AI Innovation Center helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale.

Basic Qualifications:

  • PhD degree in CS, CE and several years (or MSc and 7+ years) of experience in building machine learning models for business applications
  • Experience with neural deep learning methods and machine learning
  • Hands-on experience building models with deep learning frameworks like PyTorch, Tensorflow, or MxNet
  • Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to technical and non-technical audiences
  • Fluency in written and spoken English

Preferred Qualifications:

  • Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
  • Proven knowledge of AWS platform and tools
  • Hands-on experience of building ML solutions on AWS
  • Experience in professional software development
  • Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field

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.

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, please visit for more information.

#J-18808-Ljbffr
NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    05 Nov 2025
  • Standort:

    München

KI Suchagent

AI job search

Möchtest über ähnliche Jobs informiert werden? Dann beauftrage jetzt den Fuchsjobs KI Suchagenten!