Amazon Generative AI Innovation Center (GenAIIC) aims to drive the adoption and innovation of Generative AI technologies for AWS customers. As a Data Science Manager, you will be the technical leader and primary contact for AWS within customer and partner ecosystems, focusing on implementing and scaling generative AI solutions.
Key Responsibilities
- Lead discussions with senior technical and management personnel to understand business problems and guide the implementation of generative AI solutions.
- Develop and maintain strategic relationships with key accounts to drive the adoption of generative AI technologies.
- Build and manage a high-performing team of data scientists, architects, and engineers.
- Oversee hiring, onboarding, training, and development of team members, focusing on best practices and creating value-driven architectures.
- Identify opportunities to develop reusable technical assets based on customer needs.
- Provide feedback to Product and Engineering teams to help shape product direction.
- Drive revenue growth and thought leadership through strategic engagements and deep dive sessions with customers.
- Partner with technology and business teams to create and deliver state-of-the-art generative AI models and solutions.
- Guide customers on adoption patterns, paths to production, and drive the creation of value through technical solutions.
About The Team
GenAIIC is a dynamic team focused on pioneering generative AI solutions that address complex business and operational challenges. The team works on cutting-edge projects deployed both in the cloud and on devices, contributing to major advancements in the AI space.
Basic Qualifications
- Education. Bachelor’s degree in Computer Science, Mathematics/Statistics, Computer Engineering, or a related technical discipline.
Technical Skills
- Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab).
- Several years of technical management experience, including at least 1 year in a customer-facing or consulting role.
- Experience with algorithms and data structures, numerical optimization, data mining, distributed computing, deep learning, and machine learning.
Stakeholder Management
- Demonstrated ability to manage senior stakeholders and collaborate with multidisciplinary teams.
Preferred Qualifications
Advanced Skills
- Experience with fairness in machine learning and AI, including bias detection and removal.
- Hands-on experience with deep learning techniques (e.g., CNN, RNN, LSTM, Transformer).
- PhD or Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or a highly quantitative field.
- Experience in training and fine-tuning Large Language Models (LLMs) and deploying Large Foundational Models.
- Deep knowledge of AWS and AWS AI/ML services.
- Pre-Sales Experience. Experience in pre-sales or customer-facing field development roles.
Why AWS?
- Inclusive Culture. AWS values diverse experiences and fosters an inclusive environment through various employee-led affinity groups and ongoing learning experiences.
- Mentorship & Growth. Continuous knowledge-sharing, mentorship, and career advancement resources are available to help you grow professionally.
- Work/Life Harmony. AWS supports flexibility in work arrangements to ensure a healthy work-life balance.
How to Apply. To apply, visit the AWS careers page and search for the Data Science Manager position in Dubai. Follow the application instructions provided in the job posting.
Feel free to ask if you need any additional information or help with your application!