ML Engineer

We're looking for a talented ML Engineer with a strong background in Natural Language Processing, Large Language Models (LLMs), and fine-tuning on client-specific data.

This is an opportunity to work on cutting-edge AI solutions that combine real-world client needs with custom-tuned large language models.

Requirements: 

Experience with LLM fine-tuning and prompt engineering;

Hands-on skills in PyTorch and/or TensorFlow;

Experience working with LangChain and NLP model chaining/composition;

Ability to preprocess and normalize raw text data effectively;

Familiarity with deploying models in real-world applications;

Solid understanding of vector stores, embeddings, and inference optimizations.

Responsibility: 

Fine-tune and adapt LLMs (GPT, LLaMA, etc.) on domain-specific datasetsPrepare, clean, normalize and structure client-provided text data for training;

Build scalable, production-ready NLP pipelines using PyTorch and/or TensorFlow;

Work with frameworks like LangChain, Transformers, Hugging Face, etc.Select and integrate appropriate tools and services for model training and deployment;

Collaborate with cross-functional teams to deliver intelligent AI-driven features;

We offer:
Regular performance and salary reviews;

Paid vacation and sick leave;
50% compensation for professional training, courses, or industry conferences;
100% reimbursement for successfully passed certifications;
Free English classes – sharpen your communication skills;
Opportunities to attend and speak at events and conferences organized or supported by the company.