Mid Data Science, AI Engineer

• Develop and deploy machine learning and AI solutions
• Build scalable, production-grade AI systems
• Apply LLM-based systems and modern NLP applications
• Collaborate with senior engineers to build scalable and reliable AI-driven products
• Make high-quality financial research accessible and data-driven

• 3+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and solid software engineering fundamentals
• 1+ year of experience with LLM and NLP-related tasks
• Understanding of modern deep learning architectures
• Experience with at least one deep learning framework (TensorFlow or PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Docker
• Strong knowledge of object-oriented programming
• Fluency in Ukrainian
• Upper-Intermediate or higher level of English (spoken and written)
• Nice to Have: Hands-on experience with RAG pipelines and vector databases
• Nice to Have: Experience training or fine-tuning LLMs
• Nice to Have: Experience with cloud platforms (AWS, Google Cloud, Azure)
• Nice to Have: Participation in Kaggle or similar competitions