Data Science Specialist (LLM)

Quick Facts

• Role: Data Science Specialist (LLM)

Description

You will collaborate with cross-functional teams to support business strategy using advanced data techniques. The role includes designing, deploying, and optimizing ML models and integrating them with existing systems, as well as building LLM-based solutions (text data analysis and preparation, and fine-tuning models to specific needs). You will develop and manage an internal feature store and vector database, lead the full ML model lifecycle with MLOps/LLMOps, and monitor algorithm performance by quality metrics and business value.

Responsibilities

• Work closely with teams across the organization to apply advanced data techniques for business impact

• Design, implement, and optimize ML models and integrate them with existing systems

• Build LLM solutions: prepare large text datasets for large language models and fine-tune models for specific requirements

• Develop internal feature store and a vector database

• Manage the full lifecycle of ML models and develop the internal MLOps/LLMOps ecosystem

• Monitor algorithm performance using both quality metrics and generated business value

Requirements

• Degree in a relevant field covering AI/ML knowledge (Mathematics, Statistics, Computer Science, etc.)

• Experience in AI/ML engineering in a managed environment using agile methodologies

• Practical experience designing, deploying, and maintaining AI/ML solutions across their lifecycle

• Practical knowledge of machine learning algorithms (supervised/unsupervised, deep neural networks, regression, classification, segmentation, NLP)

• Experience with vector databases and LLMs: fine-tuning, optimization, and version control

• Practical Python knowledge and AI/ML libraries (pandas, numpy, scikit-learn, tensorflow/pytorch, xgboost, nltk, pyspark, Hugging Face, LangChain)

• Strong SQL knowledge and Git version control

• Experience with cloud environments and big data processing

• Excellent communication skills with the ability to convey complex solutions to stakeholders

• English proficiency at least B2

Benefits

• Stable employment contract

• Hybrid work model (office visits 1–2 days per week)

• Annual bonus

• Wellbeing and development support, including access to multiple platforms, online training, and language learning

• Cafeteria-style benefits package (sports activities co-funding, private medical care, prepaid cards, discounts, and vouchers)