**TL;DR: ** • Junior+ DS for the Wildberries Internal Anti-fraud team (Trust & Safety department) • 200k-350k RUB net salary • Development of ML models for anti-fraud, anomalies, and suspicious activity. End-to-end tasks: from data analysis and dataset construction to model deployment into production. Classic ML, Python, SQL, LLM/NLP, multimodal data • full remote

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Junior+ ML Engineer | Wildberries

We are looking for a DS engineer for a team that deals with applied anti-fraud and internal security.

We build production ML systems to detect fraud, anomalies, and suspicious scenarios — at the intersection of tabular data, text, logs, images, and LLM tools.

What you will do: • Develop ML models for detecting fraud and anomalous behavior; • Work with large volumes of data: logs, transactions, text, and multimodal data; • Independently form datasets, find signals, and test hypotheses; • Integrate LLM tools and modern ML approaches into applied security tasks;

We expect: • Experience in developing ML models and deploying them into production (ideally); • Proficient in Python and SQL; • Good understanding of classic ML and data handling; • Readiness to take ownership of tasks and propose new approaches; • Product mindset and interest in applied tasks; • Will be a plus: experience in anti-fraud, NLP, or working with LLM.

Conditions: • Full remote (offices with free food are available if desired); • Salary range: from 200k to 350k+ RUB net, depending on experience level; • Strong ML infrastructure and real high-scale production tasks; • Great freedom in choosing approaches and technologies; • Access to large volumes of data and the opportunity to directly influence product and business metrics.

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Send your resume to the lead → @mivankin_