AI/ML SPECIALIST, PROFESSIONAL SERVICES, PROFESSIONAL SERVICES

DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge 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.
We’re 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 - 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 About the team About the team 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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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.
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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 or equivalent with 5+ years of relevant experience, or Master’s degree in computer science or equivalent with 3+ years of experience.
- Experiences related to machine learning, deep learning, NLP, CV, GNN, or distributed training.
- 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing.
- Able to communicate effectively in English and Portuguese within technical and business settings PREFERRED QUALIFICATIONS - Ph.
degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
- Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2.
- Working knowledge of generative AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models.
- Spanish B2+ is a plus 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 https://amazon.
obs/content/en/how-we-hire/accommodations for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.