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