Professional Services II - AMZ27134.3
Posted Updated
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
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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
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