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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;