Mid Data Science / AI Engineer

Description We are building scalable, production-grade AI systems that make high-quality financial research accessible and data-driven. We are looking for a Data Science / AI Engineer to develop and deploy machine learning and AI solutions, with exposure to LLM-based systems and modern NLP applications. You will collaborate with senior engineers to build scalable and reliable AI-driven products. Requirements Requirements: - 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 - Experience training or fine-tuning LLMs - Experience with cloud platforms (AWS, Google Cloud, Azure) - Participation in Kaggle or similar competitions Originally posted on Himalayas