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