Senior ML-Engineer

📋 Description

• Develop and deploy ML solutions across business areas using tabular data.
• Work on ML projects involving e-commerce mechanics.
• Select appropriate ML/LLM approaches or propose alternatives.
• Build end-to-end ML solutions: data prep, training, API, monitoring.
• Design LLM-powered features: classifiers, content generation, AI assistants.
• Manage the full LLM lifecycle: prompts, fine-tuning, evaluation.

🎯 Requirements

• 5+ years ML/DS experience solving real product problems
• Strong ML/statistics expertise; gradient boosting; NLP/LLM knowledge
• Metrics-driven: map ML metrics to business metrics
• Strong Python engineering with product focus; clean code, design patterns
• Advanced SQL; build complex datasets in ClickHouse; work with MongoDB
• MLOps: experiment tracking, production workflows (Docker, Git, CI/CD)
• Autonomy to break down problems, choose tech stack, and deploy

🎁 Benefits

• Private medical insurance for the employee and their family
• 23 paid vacation days per year
• 11 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Home Office Setup: furniture and equipment for a comfortable workspace
• Co-working
• Remote working