Applied Science Manager, AWS Generative AI Innovation Center

il y a 4 semaines


Courbevoie, Île-de-France AWS EMEA SARL (France Branch) - G48 Temps plein
About the Role

We are seeking an experienced Applied Science Manager to join our Generative AI Innovation Center team at AWS EMEA SARL. As a key member of our team, you will be responsible for leading the development of generative AI solutions that drive business value for our customers.

Key Responsibilities
  • Partner with technology and business teams to build new generative AI solutions that delight our customers.
  • Direct a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines.
  • Deliver state-of-the-art solutions to customer's business and mission problems.
  • Drive discussions with senior technical and management personnel within customers and partners.
  • Develop and maintain long-term strategic relationships with key accounts.
  • Grow an existing team by hiring, on-boarding, training, and developing new Scientists, Architects, and Engineers.
  • Identify opportunities for building reusable technical assets based on recurring patterns of customer needs.
  • Provide customer and market feedback to Product and Engineering teams to help define product direction.
  • Drive revenue growth across a broad set of customers.
About the Team

The Generative AI Innovation Center team 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.

What We Offer
  • A dynamic and innovative work environment.
  • Opportunities for career growth and development.
  • A competitive salary and benefits package.
  • A chance to work with a diverse and talented team.
Requirements
  • PhD in Computer Science (CS), Computer Engineering (CE), or related technical field. Or MSc plus several years of industry experience.
  • Several years of scientists or machine learning engineers management experience.
  • Knowledge of ML, NLP, Information Retrieval and Analytics.
  • Ability to demonstrate senior stakeholder management skills and collaborate effectively with multidisciplinary teams.
  • Experience directly managing scientists or machine learning engineers.
  • Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.


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