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