Amazon Development Centre (London) Limited
Applied Science, entertainment
AppliedScientist,ObservabilityandTriage
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Observability and Triage at Amazon Development Centre (London) Limited. Skills: Generative AI, Machine learning, Observability. Design and develop machine learning and generative AI. Develop automated incident triage systems”
What You'll Achieve.
Reduce operational load; Detect anomalies; Identify root causes; Recommend resolution paths; Take action for operational incidents; Reduce time and effort spent responding to operational events; Remove customer impact
Industry & Context.
Root cause analysis; Anomaly detection
What They're Looking For.
Must Have
Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience in building machine learning models for business application, Master's degree in CS, CE, ML or equivalent relevant work experience
Nice to Have
PhD preferred, Experience using Unix/Linux, Experience in professional software development
What You'll Do.
Design and develop machine learning and generative AI
Develop automated incident triage systems
Develop root cause analysis systems
Develop resolution recommendation systems
Prototype and evaluate hypotheses
Leverage quantitative experimentation
Leverage domain expertise
Build evaluation frameworks
Measure model accuracy
Integrate ML models into production observability systems
Communicate results and insights
Analyse patterns across operational incidents
Improve automated triage model
Design experiment for Generative-AI based approach
Identify root causes for complex multi-service incidents
How You'll Work.
Team & Collaboration
Development teams; Software engineering teams; Operational stakeholders
Communication Scope
Technical presentations; Written reports
Full Job Description
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. The Observability and Triage team is looking for an Applied Scientist for our London office experienced in generative AI and large models. This is a wide impact role working with development teams across the UK, India, and the US. This greenfield project will deliver features that reduce the operational load for internal Prime Video builders and for this, you will develop AI-driven solutions that automatically detect anomalies, identify root causes, recommend resolution paths and take action for operational incidents. We consume petabytes of data daily across multiple metric, log and data based events and you would be experimenting on how to shape the future through this data. You will have strong technical ability, excellent teamwork and communication skills, and a strong motivation to deliver customer value from your research. Our position offers opportunities to grow your technical and non-technical skills and make a global impact. Key job responsibilities - Design and develop machine learni
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