Professional Services II - AMZ27134.3

Amazon.com; New York (NY); On-site; USD 145,000 - 195,000; Full time

Benefits offered by this job

Sign-on payment

Restricted stock units

Medical benefits

Financial benefits

Job summary

Amazon Web Services, Inc. is hiring for a Professional Services II to lead end-to-end AI/ML and GenAI initiatives in New York, NY.

You will scope problems, prepare data, develop models, and deploy with monitoring and retraining in production environments, using SageMaker, Step Functions, Lambda, and CloudWatch. Collaboration with cross-functional teams is essential for success in this role.

Qualifications

• Master's degree or foreign equivalent in CS, Engineering, Applied Analytics, or related field.
• Strong data analysis and modeling skills with Python and SQL.
• Experience with ML model development, deployment, and governance.

Responsibilities

• Implement end-to-end AI/ML and GenAI projects from scoping to deployment.
• Prepare and clean data, build models, and deploy with monitoring and retraining.
• Build ML pipelines using AWS services like SageMaker, Step Functions, Lambda, CloudWatch.
• Apply MLops practices including CI/CD, testing, and containerization (Docker/ECR).
• Collaborate with Applied Scientists, Data Engineers, DevOps, and Cloud Infra teams.

Skills

Python

SQL

Machine Learning

CI/CD

GenAI

Education

Master's degree in CS/Engineering/Applied Analytics

Tools

AWS SageMaker

Docker

ECR

Job description

Employer: Amazon Web Services, Inc.

Position: Professional Services II - AMZ27134.3

Location: New York, NY

Multiple Positions Available:

Implement end-to-end AI/ML and GenAI projects, including scoping business problems, preparing and cleaning data, developing models, and deploying them into production with monitoring and retraining processes. Build and manage machine learning pipelines using AWS services(e.g., SageMaker, Step Functions, Lambda, CloudWatch) to ensure scalable, reliable, and secure ML workloads. Apply MLops practices(CI/CD for ML models, automated testing, containerization with Docker/ECR, and model registry/versioning) to streamline deployment and governance of AI/ML solutions. Leverage GenAI models and frameworks(e.g., Llama, Hugging Face Transformers, Lang Chain) to design retrieval-augmented generation (RAG) applications, text-to-SQL solutions, and domain-specific fine-tuning. Collaborate daily with cross-functional teams—including Applied Scientists, Data Engineers, DevOps, and Cloud Infrastructure engineers to prepare datasets, optimize model performance, and integrate solutions into enterprise systems. Assist customers, review their use cases, recommending AI/ML architectures, and guiding adoption of cloud-native and GenAI best practices. Share knowledge across the organization by conducting internal training sessions, publishing technical artifacts, and mentoring junior engineers, contributing to a growing repository of reusable AI/ML assets.

10% of work time may be spent in domestic travel to perform the job duties.

(40 hours / week, 8:00am-5:00pm, Salary Range $144500 - $195400)

Amazon.com is an Equal Opportunity - Affiliation Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Basic Qualifications

Must have at least a Master’s degree or foreign equivalent in Computer Science, Engineering (any field), Applied Analytics, or related field and 1 year of experience in job offered or related occupation.

• 1) Data analysis and processing using Python and SQL
• 2) Machine Learning and Statistical Modeling
• 3)Software Engineering practices including version control, testing, and CI/CD
• 4) Generative AI system design

The base pay range for this position in New York City is USD $144500 - $195400 (yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered.

Preferred Qualifications

All applicants must meet all the above listed requirements.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.