Professional Services II - AMZ18353.8

Amazon • Dallas, TX

6d

About The Position

Multiple Positions Available:

1. Collaborate with AI/ML scientists and architects to research, design,
develop, and evaluate generative AI solutions to address real-world challenges
2. Build robust and scalable Generative AI solutions for customer facing
business problems
3. Interact with customers directly to understand their business problems, aid
them in implementation of generative AI solutions, brief customers and guide
them on adoption patterns and paths to production
4. Create and deliver best practice recommendations, tutorials, blog posts,
sample code, and presentations adapted to technical, business, and executive
stakeholder
5. Provide customer and market feedback to product and engineering teams to help
define product direction
6. Analyze and extract relevant information from large amounts of historical
data to help automate and optimize key processes
7. Domestic travel up to 25% to perform role responsibilities may be required

(40 hours / week, 8:00am-5:00pm, Salary Range $131,300/year to $177,600/year)

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

Basic Qualifications: Bachelor’s degree or foreign equivalent degree in Computer
Science, Mathematics, or a related technical or scientific field followed by 5
years of progressively responsible post-baccalaureate experience in the job
offered or a related occupation. In the alternative, employer will accept a
Master’s degree or foreign equivalent degree in Computer Science, Mathematics,
or a related technical or scientific field and 2 years of experience in the job
offered or a related occupation.

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
[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.

Requirements

• Bachelor’s degree or foreign equivalent degree in Computer Science, Mathematics, or a related technical or scientific field followed by 5 years of progressively responsible post-baccalaureate experience in the job offered or a related occupation.
• In the alternative, employer will accept a Master’s degree or foreign equivalent degree in Computer Science, Mathematics, or a related technical or scientific field and 2 years of experience in the job offered or a related occupation.
• 2 years of experience in designing, building, and/or operating cloud solutions in a production environment
• 2 years of experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
• 2 years of hands on experience with Python to build, train, and evaluate models
• 2 years of technical client engagement experience

Nice To Haves

• All applicants must meet all the above listed requirements.

Responsibilities

• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Build robust and scalable Generative AI solutions for customer facing business problems
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Provide customer and market feedback to product and engineering teams to help define product direction
• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
• Domestic travel up to 25% to perform role responsibilities may be required

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level