3 сен

ml engineer for B2B marketplaces

ориентир по рынку
вакансия зп не указана
в среднем 305 643 ₽
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описание

Annapurna operates a fast-growing SaaS platform that brings transparency and efficiency to a fragmented, relationship-driven B2B marketplace. The platform replaces manual tendering workflows with a centralized digital solution used by tens of thousands of businesses across Europe.

задачи

  • Develop and deploy ML models for price prediction, ranking, search, information retrieval, and agent-like workflows;
  • Own the full lifecycle of ML features, from prototyping and experimentation to reliable, scalable production services;
  • Design evaluation strategies, including offline metrics and online experiments, to guide product and model decisions;
  • Integrate ML components into web-based products in close collaboration with engineering and product teams;
  • Help shape the AI strategy and contribute to technical decision-making across the platform.

требования

  • At least 5 years of experience as an ML Engineer or Data Scientist working on end-to-end ML solutions in production;
  • Strong background in machine learning and deep learning, including model design, training, evaluation, and iteration;
  • Advanced Python skills and experience writing robust, maintainable code for real-world systems;
  • Hands-on experience with PyTorch, scikit-learn, and data tools such as Pandas or Polars;
  • Experience handling diverse data types and practical modeling challenges from preprocessing through deployment;
  • Experience with LLM-based systems and agents, including RAG pipelines, tool-using agents, multi-step reasoning, and evaluation;
  • Familiarity with TypeScript, React, and Node.js, with the ability to connect ML services to APIs and front-end applications;
  • Confidence with statistical tests and experiment design, including A/B testing and metric-driven decision-making;
  • Product-focused mindset, ability to prioritize impact, navigate ambiguity, and move quickly while staying data-informed.

условия

  • Flexible working hours with an emphasis on outcomes rather than strict schedules;
  • Permanent contract;
  • Competitive salary;
  • Modern equipment provided.

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