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Key job responsibilities
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, on-boarding, training, and developing new Scientists, Architects, and Engineers from internal and external sources.You will identify opportunities for building reusable technical assets based on recurring patterns of customer needsYou will provide customer and market feedback to Product and Engineering teams to help define product directionYou will drive revenue growth across a broad set of customersYou will deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSWork/Life BalanceInclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- 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- Experience directly managing scientists or machine learning engineers- Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives
- 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 projectsAmazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.
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