Share
Key job responsibilities
- Designing and delivering solutions that solve for new levels of complexity, scale and performance, and in turn, enable breakthrough innovations.
A day in the life
About AWSDiverse Experiences
AWS 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.Mentorship & 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.Work/Life Balance
- Experience coding in Python, R, Matlab, Java or other modern programming language
- Experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inferences)
- Basic understanding of deep learning (e.g., CNN, RNN, LSTM, Transformer), Large Language Models, Large Multimodal Models and other GenAI Models such as Stable Diffusion and their finetuning and distributed training strategies
- Strong working knowledge of deep learning, machine learning and statistics
- Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2 or other large scale cloud providers‘ services
- Experiences related to Large Language Models, Large Multimodal Models or other GenAI Models such as Stable Diffusion and their finetuning and distributed training strategies
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
These jobs might be a good fit