TL;DR

Deep Learning Architect (AI): Researching, designing, developing, and evaluating generative AI solutions to address real-world challenges, with an accent on innovating in a fast-paced environment and contributing to game-changing projects and technologies. Focus on working directly with customers to understand their business problems and aiding them in the implementation of generative AI solutions.

Company

%hirify_global% Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

What you will do

Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges.
Interact with customers directly to understand their business problems 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 stakeholders.
Provide customer and market feedback to product and engineering teams to help define product direction.

Requirements

Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience).
3+ years of experience in designing, building, and/or operating cloud solutions in a production environment.
2+ year 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.
Ability to communicate in a business setting in English.

Nice to have

Masters or PhD degree in computer science, or related technical, math, or scientific field.
Strong working knowledge of deep learning, machine learning, generative AI, and statistics.
Experience building generative AI applications on AWS using services such as %hirify_global% Bedrock and %hirify_global% SageMaker.
Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
Experience building cloud solutions with AWS.

Culture & Benefits

%hirify_global% values diverse experiences and encourages candidates to apply even if they do not meet all preferred qualifications.
Inclusive team culture with employee-led affinity groups fostering a culture of inclusion.
Endless knowledge-sharing, mentorship, and career-advancing resources available.
Value work-life harmony and strive for flexibility as part of the working culture.