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You’ll join a diverse team of software, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security and availability. You’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities
You will own the organisation strategy relative to the usage of ML, GenAI and propose the best technology to advance our ability to better detect, faster root cause ,and correlate to prior incidents to shorten customer facing AWS incidents. Your work will enable us to identify gaps in our current strategy, learnings from past incidents. You will contribute to shortening incident response through deep analysis and introduction of new technology.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.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
- Masters degree (or European advanced degree equivalent) or PhD in Computer Science, or related technical, math, economics, or scientific field
- Several years of relevant experience in developing large scale machine learning or deep learning models and/or systems in a production environment
- Experience in using Python, R or Matlab or other statistical/machine learning software language
- Several year experience specifically with deep learning (e.g., CNN, RNN, LSTM, etc.)
- Experience hiring or mentoring more junior colleagues
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