Senior Machine Learning Engineer

About the team

Responsibilities

• Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration
• Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation
• Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods
• Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards
• Preparing and processing data, training models, running A/B tests, and analyzing results
• Monitoring and improving model performance, interpreting model behavior and key metrics
• Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture
• Collaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact
• Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization

What makes you the perfect fit