Join Our Trailblazing Generative AI Team at Amazon's AWS

Are you eager to position yourself at the vanguard of Machine Learning and Artificial Intelligence? Explore the potential of cutting-edge Generative AI algorithms with us! Amazon Web Services (AWS) is pleased to announce an exciting role within our newly established Generative AI Innovation Center. This strategic initiative is dedicated to implementing transformative Generative AI solutions that make a substantial impact on our customers' businesses.

Role Overview: Senior Deep Learning Architect, Generative AI Innovation Center

You will have the opportunity to work alongside a team of experts including strategists, data scientists, engineers, and solution architects. Our goal is to work collaboratively with AWS customers to develop custom solutions that fully leverage the capabilities of generative AI. By imagining and defining use cases, selecting and fine-tuning the appropriate models, and navigating through technical or business challenges, you will play a pivotal role in developing proof-of-concepts and planning the launch of scalable solutions.

In your daily role, you will engage directly with clients and thrive in a fast-paced setting that nurtures game-changing projects and innovation. You'll also design experiments, research new algorithms, and optimize frameworks that enhance risk measures, profitability, and customer experiences.

Job Location

Candidates may choose to work from the following locations:

• Arlington, VA, USA
• Denver, CO, USA
• Washington, DC, USA

What We Value

Embracing diverse experiences is fundamental at AWS. We highly encourage applicants with diverse qualifications and those from unique career paths to apply. Your unique experiences are valuable to us.

Your Contribution to AWS

As a Senior Deep Learning Architect, you are expected to:

• Utilize ML, Generative AI, and other advanced techniques to architect and refine innovative solutions for complex problems.
• Contribute towards continuous learning in a workplace that values knowledge and career growth.
• Maintain a balance between professional achievements and personal life, promoting a culture of work-life harmony.

Qualifications

• Bachelor of Science degree in Computer Science or a similar field, or equivalent experience.
• Proficiency in programming languages such as Python, R, or Java.
• Significant experience in developing, deploying, and managing ML solutions on cloud platforms (AWS preferred).
• Advanced understanding of database technologies and big data solutions.

Preferred Experience

• Advanced degree (Masters or PhD) in a relevant field.
• Deep familiarity with AWS suite of services like SageMaker, Lambda, and EC2.
• Strong analytical and communication skills, with the capability to handle complex quantitative concepts.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and proudly adheres to a diverse workforce free from discrimination.

Interested candidates are encouraged to apply as soon as possible as this rewarding position aims to be filled promptly.

Why Amazon Web Services?

As the global leader in cloud computing, AWS promises continuous innovation and operational excellence. Our team’s commitment to learning and inclusion makes AWS not just a place to work, but a platform to excel in your career and personal aspirations.

Ready to innovate with us? Apply today and revolutionize the future with AWS!