Data Scientist

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

‌

— Design, develop and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering

— Conduct research and experiments to push the boundaries of LLM capabilities and performance

— Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings

— Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring

— Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy

— Stay current with the latest advancements in LLMs, NLP and machine learning research

— Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

‌

— MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field

— 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs

— Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries

— Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling

— Experience training and fine-tuning large language models

— Experience with classical ML models - XGBoost, LightGBM

— Proficiency in model deployment, optimization, scaling and serving

— Excellent problem-solving, analytical and quantitative abilities

— Strong communication skills to present technical information clearly

— Ability to work collaboratively in a team environment

— Fluency in Ukrainian and English

Preferred:

— Research experience in LLMs, NLP, machine learning

— Experience working with multi-modal data (text, image, audio)

— Knowledge of cloud platforms like AWS, GCP for model training

— Understanding of MLOps and production ML workflows

— Background in information retrieval, knowledge graphs, reasoning

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.