Applied Science Manager, AWS Generative AI Innovation Center
il y a 4 semaines
As an Applied Science Manager in the AWS Generative AI Innovation Center, you will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer's business and mission problems.
Key Responsibilities
- Work directly with customers to drive adoption and shape the future of the most exciting emerging technology by understanding the business problem and guiding our customers in implementation of generative AI solutions, and developing long-term strategic relationships with key accounts
- Help develop the industry's best generative AI delivery team by enabling and coaching your specialist team on best practices and how to create and present value-driven architectures of widely varying size and complexity
- 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 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. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.
What We Offer
At AWS, we value diverse experiences and encourage candidates to apply even if they do not meet all of the preferred qualifications and skills listed in the job description. We offer a range of benefits, including flexible work hours and arrangements, a culture of inclusion, and opportunities for career growth and development.
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
Preferred Qualifications
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Deep expertise in generative AI and hands on experience of deploying and hosting Large Foundational Models
- Experience and deep knowledge of AWS and AWS AI/ML services
- Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.
- Project management experience working on cross-functional projects
Location
We are open to hiring candidates to work out of one of the following locations: Courbevoie, FRA
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