Middle ML Engineer

Responsibilities

• •Participate in ML research: task analysis, experimentation, preparation for deployment
• •Work on model inference optimization (ONNX, quantization)
• •Participate in improving the automated model training system
• •Support ML models in production: monitoring, problem analysis, optimization
• •Teamwork: code reviews, writing tests, knowledge sharing

Requirements

• •Experience developing ML solutions in Python (1-2 years)
• •Knowledge of PyTorch or TensorFlow
• •Understanding of modern NLP approaches
• •Knowledge of machine learning fundamentals and classical algorithms
• •Strong desire to grow in the NLP field

Nice to Have

• •Experience solving NLP tasks
• •Working with vLLM, ONNX Runtime, TensorRT
• •Familiarity with MLFlow, DVC, ClearML
• •Experience with LangChain, LlamaIndex

Interview Process

1. HR screening

2. Technical interview

3. Final meeting

Duration: 2 недели

What We Offer

• •Access to top language models for work and experiments: GPT, Claude, Gemini, LLaMA, DeepSeek, Qwen, Mistral Large, GigaChat, YandexGPT and more
• •Professional growth and knowledge sharing within the team, with partners, universities and AI communities
• •IT accreditation — the company is in the registry of accredited IT organizations
• •Annual benefit of your choice: health insurance / sports / education compensation
• •Referral program
• •Official employment under Russian Labor Code with 100% sick leave compensation
• •Hybrid work from the Saint Petersburg office or remotely
• •Internal learning: book club, English classes, Just Talks
• •Opportunities within the i-Free Group: 16 IT companies, ~1000 specialists — meetups, knowledge sharing, horizontal growth
• •Corporate culture Just AI DNA: parties, movie nights, sports events, museum visits