Data Science Manager, AWS Generative AI Innovation Center
4 settimane fa
About the Role
The AWS Generative AI Innovation Center is seeking a highly skilled Data Science Manager to lead our team of data scientists, deep learning architects, and ML engineers in building generative AI models and pipelines. As a Data Science Manager, you will be responsible for directing the team to deliver state-of-the-art solutions to customer business and mission problems.
Key Responsibilities
- Work directly with customers to drive adoption and shape the future of generative AI by understanding business problems and guiding customers in implementing generative AI solutions.
- Develop long-term strategic relationships with key accounts and help develop the industry's best generative AI delivery team by enabling and coaching specialists on best practices.
- Grow an existing team by hiring, onboarding, training, and developing new scientists, architects, and engineers from internal and external sources.
- 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.
Requirements
- Bachelor's degree in computer science, mathematics/statistics, computer engineering, or related technical discipline.
- Several years of experience with data querying languages, scripting languages, or statistical/mathematical software.
- Several years of technical management experience, including a minimum of 1 year in a technical management role in a customer-facing or consulting organization.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, and/or machine learning.
Preferred Qualifications
- Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems.
- Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer).
- PhD or Master's degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
- Prior experience in training and fine-tuning of Large Language Models (LLMs).
- 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.
About Amazon
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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