Amazon Sr Applied Scientist Optical Automation Team 

Ireland, Dublin 

419581693

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.
Key job responsibilities
A day in the life
Daily activities for this role will also include driving designs for components/solutions that deliver new features and capabilities using AI/ML, preparing estimates for upcoming deliverables, document proposed solutions, reviewing code of other members, writing well structured and optimized code, performing root cause analysis on operational events, providing project updates to leadership and other team members. This position involves on-call responsibilities.As part of this team you will:
· Drive the AI and ML agenda for the DRES teams to shape the automation future in Networking.
· Partner with Network Engineers to collect needed data sets required to train Use and develop tools, services and processes that collect and rationalize data from different sources.
· Participate in an on call rotation with your team to support the software developed.
· Identify and troubleshoot recurring platform issues with effective escalation to senior-level engineering teams.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

- 6+ years of hands-on experience building and deploying ML systems in production.
- Masters degree in Computer Science, ML, or related field.
- Experience of the programming languages Python or R, C++, Java.
- Proven portfolio of solving business problems through building ML solutions.
- Experience in influencing software teams to adopt AI/ML.

- PhD, or Master's degree in ML or related field experience.
- Experience in RAG/Graph-RAG.