We are looking for an experienced and motivated Machine Learning Engineer to work on the development of advanced AI systems focused on text processing, LLMs, and agent-based frameworks. The ideal candidate has a strong background in NLP, hands-on experience with the modern LLM ecosystem, and a strong interest in designing modular, scalable, production-ready AI solutions.
RESPONSIBILITIES:
Develop and optimize NLP models for working with
textual data (classification, similarity, extraction, reasoning)
- Work with agent-based frameworks and workflow
orchestration using LangChain and LangGraph
- Fine-tune and adapt Hugging Face models (BERT,
RoBERTa, and LLMs)
- Develop and integrate tools (tool calling)
within agent-based systems
- Work with MCP servers and integrate internal and
external tools
- Host and serve LLM models (on-prem and cloud)
- Develop AI services and APIs in Python
- Work in Docker environments and build
reproducible ML pipelines
- Collaborate with product and engineering teams
on end-to-end solution design
TECHNICAL SKILLS:
- Strong experience using Python for Machine
Learning and NLP
- Hands-on experience with the Hugging Face
ecosystem (Transformers, Datasets, Trainer)
- Solid knowledge and practical experience with
BERT-based models and LLMs
- Experience with agent frameworks (LangChain,
LangGraph, or similar)
- Understanding of agent-based systems and
tool-calling mechanisms
- Experience working with MCP servers
- Experience hosting and optimizing LLMs
- Hands-on experience with Docker and
containerization
- Good understanding of the full ML lifecycle
(training, evaluation, deployment)
WOULD BE A PLUS:
- Experience with RAG (Retrieval-Augmented
Generation) architecture
- Experience with vLLM, TGI, or similar inference
servers
- Experience with MLOps practices and CI/CD
pipelines
- Experience with distributed systems or
performance optimisation
PROFILE:
- University degree in IT, electrical engineering
or the equivalent in experience
- Minimum of 5 years of relevant work experience
- Strong interpersonal and communication skills,
with proficiency in spoken and written English
- Critical independent positive thinker in
resolving complex problems
- Customer-oriented team player with a positive
attitude
- Good analytical and problem-solving skills
WHAT WE OFFER:
- Challenging projects in private sector
- Sustainable and socially beneficial projects in
public sector
- Working with well-educated and experienced
colleagues
- Paid certification and education in country and
abroad (training, courses, exams etc.)
- Pleasant and friendly office environment
- Flexible working hours
- Parking
- Fruit, snacks and drinks
- Team buildings and Company celebrations(Secret
Santa, New Year gifts for kids, Women’s Day)
- Private health care for all employees
- Paid prenatal test for pregnancy
- 100% paid sick leave
- Paid Gym & Fitness
- For the birth of a child, the employee receives
500 EUR bonus
SELECTION PROCESS:
- We will
contact only short-listed candidates
- We optimised the selection process. The first
interview will be with HR, followed by the technical interview. If the interview goes well, you may be
invited to another technical interview or you will receive a job offer
.svg)
