Middle/Senior ML Engineer (with GenAI)

As an ML Engineer, you’ll be provided with all opportunities for development and growth to build cutting-edge technology solutions that have a positive impact on society. Requirements include comfort with standard ML algorithms, hands-on experience with LLMs in production (RAG architecture and agentic systems), and practical experience with classification/regression tasks, feature engineering, and ML models in production. Expertise in Python and Docker is essential, along with solid software engineering skills. Responsibilities include creating or improving ML models, collaborating with engineering, data science, and product management teams, and setting up reproducible experimentation environments. You'll also monitor ML models in production, write documentation, and stay updated with the latest ML and AI developments.