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What you will do
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- Design, develop, and ship production-grade machine learning models with full ownership, considering everything from memory footprint to latency.
- Dive deep into statistical analysis, probability, and machine learning/deep learning models. Critically evaluate existing solutions and develop novel approaches where needed. A foundational understanding of NLP architectures like Transformers is a plus.
- Build and maintain containerized models and develop model monitoring solutions to track metrics like variable drift.
- Create and manage CI/CD pipelines for machine learning models and contribute to the design and development of APIs.
- Utilize SQL proficiency to perform in-depth data analysis and feature engineering.
Who you are
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- Proven software engineering skills with experience designing, developing, and deploying ML models in production. Experience with deploying models on Scoring Platform is highly desirable.
- High proficiency in Python.
- Strong quantitative foundation with deep understanding of statistical analysis, probability, and a wide range of ML and DL models.
- Hands-on experience with containerization (Docker), CI/CD pipelines, and model monitoring.
- Experience in API schema design and development, and building containerized applications (e.g., using Docker).
- Excellent communication and stakeholder management skills.
- Experience working with consumer or partner Fraud Detection/Credit Underwriting would be a plus.
Awesome to have
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- An academic background in Physics, ML, Data Science, Mathematics, or Biology.
- Prior experience as a Senior Data Scientist, ideally within a regulated environment or fintech context.
Please include a CV in English.
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📌 Senior Data Scientist (Milano)
🏢 Klarna
📍 Milano