IT and Signals

Machine Learning Specialist

Responsibilities

statistical analysis, research work
visualization and presentation of data
development and implementation of classic ML-models and neural networks
integration of ML solutions into backend systems via API, Docker, Kubernetes, CI/CD
collaboration with cross-functional teams
writing and supporting documentation of implemented solutions

experience in the position of ML-engineer or similar
Confident knowledge of Python and related ML stack packages
basic understanding of modern AI theory: classification, regression, clustering, neural networks, etc.
basic understanding of mathematics, statistics, probability theory
proficiency in English at a level sufficient to read and understand technical documentation
a bachelor's degree or higher in computer science, mathematics or related field
HuggingFace ecosystem — confident work with transformers, datasets, tokenizers, accelerate, evaluate, hub; experience fine-tuning, custom training loops, custom tokenizers (BPE, SentencePiece, WordPiece)

military service under contract
the possibility of service for candidates who, according to the conclusion of the VLC, are suitable for service in military support units, TCC and SP, higher educational institutions, training centers, etc.
the possibility of transferring active military personnel with the consent of the immediate commander
small team, low bureaucracy, the decision is made by an engineer who knows the context
each change of model or infrastructure has clear benchmarks before/after
Production-mindset from the beginning: any model from the laptop should have a plan to access the server
office service in Kyiv, 5 days a week