Senior Applied Scientist
vor 4 Wochen
We are seeking a highly skilled Senior Applied Scientist to join our Fraud Prevention team at Amazon Web Services Development Center Germany GmbH. As a key member of our team, you will be responsible for developing and applying state-of-the-art machine learning methods to large amounts of data from different sources to build and productionalize fraud prevention, detection, and mitigation solutions.
As a Senior Applied Scientist, you will work closely with software engineering teams to deploy your innovations and collaborate with other scientists to monitor the flavor/trend of exploits AWS worldwide and design appropriate solutions to respond in a collaborative environment.
Key Responsibilities:
- Develop and apply state-of-the-art machine learning methods to large amounts of data from different sources to build and productionalize fraud prevention, detection, and mitigation solutions
- Actively contribute to the development of our ML Ops infrastructure
- Actively contribute to the creation and delivery of our science roadmap which includes Gen AI efforts
- Work closely with software engineering teams to deploy your innovations
- Mentor and coach junior scientists
- Publish your work at internal and external conferences/journals
- Providing oncall product support approximately once every 3 months
Requirements
- PhD plus experience (3+years) or MS plus experience (6+ years) in ML, NLP, computer vision, or related fields
- Experience in building machine learning models for business application
- Research expertise in deep learning
- Experience programming in Java, C++, Python or related language
- Experience in publishing research papers
- Experience in Generative Models
Preferred Qualifications
- Phd in Computer Science/Machine learning
- Experience in publications at toptier peerreviewed conferences or journals
- Experience working in the Fraud Prevention domain
- Excellent communication skills
- Strong skills in problem solving, programming, and computer science fundamentals
- Strong algorithm development experience
- Solid background in statistics, math, CS, machine learning and artificial intelligence
- Solid knowledge of statistics and probability
- Comfortable working in a fast paced, highly collaborative, dynamic work environment
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