Senior Data Scientist for EU Consumer Solutions
hace 2 semanas
About the Role
We are seeking a passionate and talented Scientist to help build industry-leading machine learning solutions at Amazon Spain Services, S.L.U. As an Applied Scientist, you will work closely with business partners to identify opportunities for innovation and apply machine learning solutions to automate manual processes, scale existing systems, and improve catalog data quality.
Key Responsibilities
- Work with business leaders, scientists, and product managers to translate business and functional requirements into concrete deliverables
- Design, develop, test, and deploy highly scalable distributed services
- Influence the scientific roadmap of the team and set standards for scientific excellence
- Work with state-of-the-art models, including image to text, LLMs, and GenAI
Requirements
- PhD or Master's degree in CS, CE, ML, or related field
- Experience in building models for business applications
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python, or related languages
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
Preferred Qualifications
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
- Experience with machine learning techniques for fast and accurate extraction of visual features of humans from photographs
About Amazon
At Amazon, we are committed to being the Earth's most customer-centric company, and our International Technology group (InTech) owns the enhancement and delivery of Amazon's cutting-edge engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.
About the Team
You will be part of a team of 5 scientists and 13 engineers working on solving data quality issues at scale, and you will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world.
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