Sr. Ai/ml Specialist, Professional Services

Artificial Intelligence (AI) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.
In this role, you are a passionate, talented, and inventive AI specialist with a strong background in ML and AI, pushing the boundaries in Generative AI, Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Computer Vision, Customer Segmentation, Fraud Prevention, Capacity Planning, Predictive Maintenance, and more.
Professional Services team is looking for talented scientists who can leverage ML, Generative AI, and other techniques to design, implement, fine-tune, and evangelize state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
- Design and develop robust and scalable AI solutions for business problems
- Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
- Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
- Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
- Comfortable working in a fast paced, highly collaborative, dynamic work environment
- Mentor and develop members on the team
About the team
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's 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 & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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, there's nothing we can't achieve in the cloud.
BASIC QUALIFICATIONS
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of experience in cloud architecture and implementation, preferably with AWS
- 5+ years experience related to machine learning, deep learning, NLP, CV, GNN, or distributed training.
- Able to communicate effectively in English, within technical and business settings.
PREFERRED QUALIFICATIONS
- AWS experience preferred, with proficiency in a wide range of AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3 and EC2)
- AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate)
- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models.
- Able to communicate effectively in Spanish

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