Machine Learning Engineer

Europe Europe (remote) Remote (Ukraine) Ukraine Machine Learning

Необхідні навички

Python / strong
GenAI / strong
NLP / strong

We’re looking for a Machine Learning Engineer to join our team!
If you’re excited about applied AI, agentic systems, and want to build intelligent tools that truly collaborate with people — we’d love to welcome you on board. Join us and help shape the future of AI-powered workplace assistants.

We are developing an AI-powered internal assistant framework that enables intelligent, context-aware interactions across organizational environments. The system is designed to enhance how users access, understand, and act on complex project information by leveraging semantic search, agentic AI, LLM/LMM models, and MCP (Multi-Context Protocol).

This assistant framework will serve as a foundation for building task-specific agents capable of integrating with various enterprise tools and knowledge sources. It is aimed at supporting day-to-day operations, minimizing cognitive overload, and improving information retrieval across technical and management roles, by unifying fragmented knowledge and workflows into a seamless, AI-driven interface. We’re building a system that doesn’t just respond — it understands, adapts, and collaborates.

Вимоги

  • 3+ years of experience in a similar position
  • Proficient in Python, with experience in building data pipelines and interacting with APIs
  • Experience with agentic AI frameworks such as LangChain or LangGraph
  • Solid understanding of machine learning and NLP, especially transformer-based architectures (e.g., BERT, GPT), embeddings, and their use in tasks such as retrieval-augmented generation (RAG), semantic search, and classification
  • Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with prototyping tools such as Streamlit or Gradio
  • Experience of engineering best practices: Git, Docker, cloud basics, and task estimation
  • Working knowledge of SQL
  • Upper-Intermediate level of English (both written and spoken)

WOULD BE A PLUS 

  • Experience with other agentic or LLM orchestration tools
  • Experience with MLOps or model deployment
  • Comfortable working in Linux terminal environments

Обов'язки

  • Develop and integrate ML and NLP models to power intelligent assistant features
  • Build agentic workflows using LangChain, LangGraph, or similar frameworks
  • Prototype user interfaces and internal tools using Streamlit or Gradio
  • Collaborate with the engineering and product teams to plan and deliver ML-driven features
  • Work with Docker to manage development and runtime environments
  • Use Git for version control and write clean, maintainable code
  • Query structured data using SQL
  • Contribute to model deployment and operations in a cloud environment (primarily Azure)

Чому ми

  • Різноманітність доменів та бізнесу
  • Великий вибір технологій
  • Медична та юридична підтримка
  • Круте та живе ком'юніті професiоналiв
  • Безперервна освіта та можливість росту
  • Гнучкий графік
  • Віддалена робота
  • Стильний та комфортний офіс (для твого комфорту вибору звiдки працювати)
  • Спортивні заходи та спільноти

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