Finding the best job has never been easier
Share
Are you looking to work at the forefront of AI/ML/Generative AI? Would you be excited tosecurity controls enabled throughout the lifecycle of ML and Generative AI phases of
development. The security controls will be defined for all phases including governance,
experimentation, testing, deployment and ongoing operational excellence. You will workapply both security and speed to market for their AI/ML/Generative AI workloads.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWSWork/Life BalanceInclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Hybrid Work
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- Experience coding in Python, R, Matlab, Java or other modern programming language
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 4+ years of experience hosting and deploying ML or GenAI solutions with at least 2 of the following capabilities: training, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector databases, or LLM frameworks such as Hugging Face, Langchain or LlamaIndex
- Experience working directly with customers to translate business opportunities with ML or GenAI solutions
These jobs might be a good fit