Senior ML Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Create and implement machine learning solutions across various business sectors using tabular data, including uplift models and recommender systems. We are also in the process of developing projects that incorporate e-commerce mechanics.

• Identify the most suitable machine learning or large language model approaches, or suggest alternative solutions.

• Construct comprehensive machine learning solutions, encompassing data preparation, model training, API development, and monitoring.

• Design features powered by large language models, ranging from basic classifiers and content generators to sophisticated AI assistants and chatbots.

• Engage with the entire lifecycle of large language models, including creating golden datasets, prompt engineering, fine-tuning models, and evaluating responses.

⛳️ Requirements

• Over 5 years of experience in machine learning or data science, addressing real product challenges.

• Extensive knowledge of machine learning and mathematical statistics, with a strong grasp of classical algorithms (particularly gradient boosting) and modern natural language processing/large language model techniques.

• Metrics-driven mindset, capable of correlating machine learning metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, lifetime value).

• Strong engineering culture, proficient in Python with a focus on product-oriented development; we emphasize clean coding, familiarity with design patterns, and robust engineering practices.

• Data proficiency, including advanced SQL skills; ability to independently and effectively create complex datasets in ClickHouse and utilize MongoDB.

• Understanding of MLOps, with practical experience using experiment tracking tools and familiarity with production workflows (Docker, Git, CI/CD).

• Independence: capable of deconstructing problems, selecting the appropriate technology stack (or rationalizing a non-ML solution), and delivering results in a production environment.

🏝️ Benefits

• 31 days of paid time off.

• Fully covered telemedicine plan.

• Assistance with home office setup, including support for purchasing furniture (office chair, desk, monitor) and other items to create a comfortable work environment.

• English language courses.

• Opportunities for relevant professional education.

• Access to gym or swimming pool facilities.

• Co-working spaces available.

• Flexible remote working options.