Lead Data Scientist / ML Engineer

Proven commercial experience (+5 years) designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI)., Proficiency in developing ML algorithms from scratch to production deployment., Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow)., Proven expertise in deploying solutions in cloud environments (AWS or Azure)., Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)., High proficiency in English (C1 level)., Excellent communication skills and consulting experience with direct interaction with clients., Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)., Good knowledge of CI/CD principles (GitHub and GitHub Actions)., Familiarity with MLOps practices, Kubernetes and Docker., Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field., Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus., Leadership and mentoring experience is highly desirable.

Reimbursement for prescription glasses or contact lenses, sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, remote work opportunities, flexible working time, integration events, no dress code, video games at work, christmas gifts, birthday celebration, employee referral program