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Senior Applied Science Manager, AWS Generative AI Innovation Center

2 mesi fa


Milano, Lombardia, Italia Amazon A tempo pieno
About the Role

We are seeking a highly skilled Senior Applied Science Manager to join our AWS Generative AI Innovation Center team. As a key member of our team, 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
  1. Customer Engagement: You will 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 the implementation of generative AI solutions, and developing long-term strategic relationships with key accounts.
  2. Team Leadership: You will 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. You will grow an existing team by hiring, onboarding, training, and developing new Scientists, Architects, and Engineers from internal and external sources.
  3. Technical Innovation: You will identify opportunities for building reusable technical assets based on recurring patterns of customer needs.
  4. Product Feedback: You will provide customer and market feedback to Product and Engineering teams to help define product direction.
  5. Revenue Growth: You will drive revenue growth across a broad set of customers.
  6. Thought Leadership: You will be a thought leader and drive value creation for our customers, shaping technical solutions, growing the team, and leading specific customer engagements.
  7. Customer Education: You will deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production.
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

We value work-life harmony and offer flexible work hours and arrangements. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Requirements

We are looking for a candidate with a 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 and 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.