Amazon
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!