Join Amazon Web Services' (AWS) Generative AI Innovation Center as a Senior Data Scientist and play a pivotal role in shaping the future of Machine Learning and AI. In this exciting position, you'll apply cutting-edge Generative AI algorithms to tackle real-world challenges and deliver solutions that have a significant impact.
The Generative AI Innovation Center collaborates with AWS customers to implement Generative AI solutions that unlock transformational business opportunities. You will work alongside a talented team of strategists, scientists, engineers, and architects, helping clients envision and develop bespoke solutions that leverage the power of Generative AI.
Key Responsibilities:
- Collaborate with AI/ML scientists and architects to research and develop innovative generative AI solutions addressing real-world problems.
- Engage directly with customers to comprehend their business challenges and guide them through the implementation of generative AI solutions.
- Create and present best practice recommendations, tutorials, blog posts, and sample code tailored for various stakeholders.
- Provide valuable feedback to product and engineering teams based on customer and market insights to influence product direction.
A Day in the Life:
Become part of a dynamic team that thrives in a fast-paced environment, contributing to groundbreaking projects and technologies. Design and conduct experiments, research novel algorithms, and discover innovative ways to optimize risk, profitability, and customer experience.
Basic Qualifications:
- Bachelor's degree and 8 years of experience, or Master's degree and 4 years of experience.
- 2+ years of hands-on experience with generative AI technology.
- 5+ years of experience in algorithms, data mining, parallel computing, neural deep learning methods, or machine learning.
- 5+ years of hands-on experience using Python for model building, training, and evaluation.
- 4+ years of experience in technical client engagement.
Preferred Qualifications:
- Master's or PhD in computer science, engineering, mathematics, operations research, or a highly quantitative field.
- Experience building generative AI applications on AWS using services like Amazon Bedrock and Amazon SageMaker.
- Familiarity with design, deployment, and evaluation of Large Language Model (LLM) powered agents.
- Experience optimizing high-quality prompts and templates for LLMs.
- Hands-on experience with open-source frameworks for LLM-powered applications, such as LangChain.
At AWS, we appreciate diverse experiences and encourage candidates from all walks of life to apply. We value work-life harmony and promote flexible working environments to support our employees.
If you're ready to take your career to the next level and join a team dedicated to innovation and inclusion, apply today!