Amazon Web Services (AWS) is pioneering new frontiers in artificial intelligence and is looking for dynamic Data Scientists to join their Generative AI Innovation Center (GenAIIC). This innovative center helps AWS customers harness the power of generative AI to solve complex business and operational challenges. As a Data Scientist in this role, you will play a pivotal role in researching, designing, and implementing advanced AI solutions for some of the world’s most groundbreaking projects.
Key Responsibilities
- Collaborative Research & Development. Work alongside AI/ML scientists, engineers, and architects to research, design, and develop cutting-edge generative AI algorithms to solve complex real-world problems.
- Customer Engagement. Interact directly with customers to understand their business needs, help them implement generative AI solutions, and deliver briefing sessions and deep dive workshops to guide them through the adoption process and paths to production.
- Create Educational Content. Develop best practices, tutorials, sample code, blog posts, and presentations that serve as educational resources for technical, business, and executive stakeholders.
- Feedback to Product Teams. Provide valuable customer and market feedback to Product and Engineering teams, helping to shape product direction and enhance AWS AI capabilities.
- Proof-of-Concept Development. Work with customers to develop proof-of-concept models, validate them, and define scalable paths for the launch of generative AI solutions.
About the Team
The Generative AI Innovation Center team is focused on helping customers imagine the highest value use cases, select and fine-tune the right AI models, overcome technical and business challenges, and develop scalable solutions. This team provides guidance on best practices to apply generative AI responsibly, cost-efficiently, and effectively across industries.
Basic Qualifications
- Master’s degree in Computer Science, AI, Machine Learning, or related field, or equivalent experience.
- Experience building a range of AI/ML models using algorithms, data structures, and methods such as numerical optimization, data mining, and high-performance computing.
- Proficiency in Python, with hands-on experience using deep learning frameworks like TensorFlow, Keras, PyTorch, or MXNet.
- Experience in training and fine-tuning Large Language Models (LLMs).
- Strong foundation in neural deep learning methods and machine learning techniques.
Preferred Qualifications
- Knowledge of the AWS platform and AWS-specific tools.
- Experience working in parallel and distributed computing environments.
Why Join AWS?
AWS is committed to fostering a culture of inclusion, diversity, and curiosity. We provide an environment where you can continuously learn and grow and where your ideas can help shape the future of AI. As an Amazonian, you'll have access to world-class mentorship, career development programs, and knowledge-sharing opportunities. Our flexible work culture ensures that work-life harmony is achievable so you can thrive both at work and at home.
Diversity and Inclusion
At AWS, we believe in the power of diverse experiences. Even if you don’t meet every qualification listed in the job description, we encourage you to apply. AWS is committed to providing equal opportunities to all candidates, and we value your unique perspectives.
Work Environment & Benefits
- Flexible Work Culture. Achieve success at work while maintaining a balanced life at home.
- Mentorship & Growth. Endless opportunities to expand your knowledge and grow within the organization.
- Inclusive Culture. Join a company that promotes diversity, equity, and inclusion across all levels.
If you're passionate about AI and want to join a team that is shaping the future of technology, apply now to be part of AWS’s Generative AI Innovation Center and help customers unlock the full potential of AI.