Sr. AI/ML Specialist, Professional Services

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact?

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.

The 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

1. Design and develop robust and scalable AI solutions for business problems
2. Interact with customers directly to understand the business problem, help and aid them in implementation of their ML ecosystem
3. Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
4. Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
5. Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
6. Comfortable working in a fast-paced, highly collaborative, dynamic work environment
7. Mentor and develop members on the team

Minimum Requirements

1. Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
2. 5+ years of experience in cloud architecture and implementation, preferably with AWS
3. 5+ years experience related to machine learning, deep learning, NLP, CV, GNN, or distributed training
4. Able to communicate effectively in English, within technical and business settings
5. AWS experience preferred, with proficiency in a wide range of AWS services (Amazon SageMaker, Amazon Bedrock, EMR, S3 and EC2)
6. AWS Certification (Solution Architect Associate, Machine Learning Engineer Associate)
7. Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models
8. Able to communicate effectively in Spanish

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 this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.