Data Scientist, AWS Professional Services

Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI) Would you be excited to apply AI algorithms to solve real world problems with significant impact The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Data Scientist to help customers implement AI/ML solutions and realize transformational business opportunities.

This is a team of scientists engineers and architects working step-by-step with customers to build bespoke solutions that harness the power of AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and train and fine-tune the right models define paths to navigate technical or business challenges develop scalable solutions and applications and launch them in production. The team provides guidance and implements best practices for applying AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.

Were looking for Data Scientists capable of using AI/ML and other techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities
As an experienced Data Scientist you will be responsible for:
- Implementing end-to-end AI/ML and GenAI projects from understanding business needs to data preparation model development solution deployment and post-production monitoring
- Collaborating with AI/ML scientists engineers and architects to research design develop and evaluate AI algorithms and build ML systems and operations (MLOps) using AWS services to address real-world challenges
- Interacting with customers directly to understand the business challenges deliver briefing and deep dive sessions to customers and guide them on adoption patterns and paths to production
- Creating and delivering best practice recommendations tutorials blog posts publications sample code and presentations tailored to technical business and executive stakeholders
- Providing customer and market feedback to product and engineering teams to help define product direction

This is a customer-facing role with potential travel to customer sites as needed.

About the team
ABOUT AWS:

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelors degree or above in computer science mathematics statistics machine learning or equivalent quantitative field
- 3 years of building machine learning models for business application experience including predictive modelling natural language processing and deep learning
- 3 years of hands-on experience with training fine-tuning evaluating and deploying transformer models in production
- 2 years of experience with cloud services related to machine learning (e.g. Amazon SageMaker) and coding with Python or R using modern machine learning libraries and tools such as scikit-learn TensorFlow PyTorch.
- Experience with technical customer-facing engagements

- PhD in computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
- AWS experience preferred with proficiency in a range of AWS services (e.g. SageMaker Bedrock EC2 ECS EKS OpenSearch VPC) and professional certifications (e.g. Solutions Architect Professional)
- 2 years of experience with design deployment and evaluation of AI agents and orchestration approaches; experience with open source frameworks like LangChain LangGraph LlamaIndex and/ or similar tools
- 5 years of deep learning computer vision human robotic interaction algorithms implementation experience using PyTorch or TensorFlow
- Experience in launching AI applications in production on AWS
- Experience building ML pipelines with MLOps best practices including: data preprocessing distributed & GPU training model deployment monitoring and retraining; experience with container and CI/CD pipelines
- Strong communication skills with attention to detail and ability to convey rigorous technical concepts and considerations to non-experts

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.