Data Science / AI Engineer

Commit; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Commit ищет специалиста по науке данных и ИИ для разработки и внедрения ML/AI решений, включая системы на основе LLM и современные NLP-приложения. Вы будете работать с старшими инженерами над созданием масштабируемых продуктов, которые улучшают качество финансовых исследований.

Требуется 3+ года коммерческого опыта, сильные навыки Python, опыт работы с LLM/NLP, знание Docker и облачных платформ. Знание украинского и английского приветствуется; участие в соревнованиях Kaggle будет плюсом.

Qualifications

• 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.
• 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.
• Fluency in Ukrainian and strong English communication.

Skills

Ukrainian

English (Upper-Intermediate)

Tools

Python

Docker

TensorFlow or PyTorch

SQL

NoSQL

Cloud platforms (AWS, GCP, Azure)

RAG pipelines

Job description

Описание:

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.

Требования:

• 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)
• 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