Professional Services II

Professional Services II - AMZ27134.3

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 – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

#0000

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. 
Experience must include at least 1 year in each of the following: 
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. Applicants should apply via Amazon's internal or external careers site.

#0000

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

Professional Services II  AMZ27134.3
Amazon Web Services, Inc — New York, NY

Employer: Amazon Web Services, Inc.Position: Professional Services II - AMZ27134.3Location: 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 teamsincluding Applied Scientists, Data Engineers, DevOps, and Cloud Infrastructure engineersto 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 Affirmative Action Employer Minority / Disability / Veteran / Gender Identity / Sexual Orientation #0000 Basic QualificationsMust have at least a Masters 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.Experience must include at least 1 year in each of the following:1) Data analysis and processing using Python and SQL2) Machine Learning and Statistical Modeling3)Software Engineering practices including version control, testing, and CI/CD4) 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. Applicants should apply via Amazon's internal or external careers site. Apply Online at www.amazon.jobs, by searching AMZ27134.3