ML / AI Jobs in Russia
There are 125 open ML / AI jobs in Russia on freehire right now. 14 of them were posted recently. The skills employers ask for most often are python, machine-learning and ai.
Most requested skills
- python 78%
- machine-learning 77%
- ai 57%
- llm 55%
- nlp 37%
- pytorch 35%
- sql 35%
- docker 32%
How the work is done
- Onsite 32 · 26%
- Remote 32 · 26%
- Hybrid 19 · 15%
Visa sponsorship offered in 39% of the 38 postings that state a position on it.
Seniority
- Senior 45
- Lead 6
- Intern 3
- Middle 2
- C-level 1
- Junior 1
Who is hiring
- 1000+ employees 42
- 501-1000 employees 23
- 11-50 employees 5
- 51-200 employees 4
Senior ML Engineer (Computer Vision, Video Analytics) SberAI
Senior ML Engineer building a high-performance video analytics system for sports refereeing at Sberbank, focusing on skeleton-based temporal analysis, model optimization, and a Python framework orchestrating 15+ concurrent CV/ML models.
Middle/Senior Machine Learning Engineer (команда Лояльность)
Develop ML products and pipelines, transition models to production, maintain best practices in ML engineering for Sberbank's Loyalty program, impacting millions of clients daily.
Senior ML Engineer / AI Agent Developer (B2B)
Build and deploy LLM-powered AI agents and multi-agent systems to automate and optimize corporate management processes in a B2B ecosystem using LangGraph, LangChain, and Python.
Ведущий продакт-менеджер AI/ML-продукта Business Insights
Lead Product Manager for Avito's Business Insights AI/ML platform that extracts user voice from dialogues (calls, chats, support tickets) using LLMs and NLP to deliver rapid insights to product teams.
Стажер CV ML Engineer
Intern CV ML Engineer developing and deploying computer vision models for document recognition and VLM-based data extraction in banking. Core stack: PyTorch, Git, DVC, MLFlow/ClearML, pytest.
Deep Learning Researcher
Developing and deploying production ML/DL models for time series forecasting and financial market prediction in a DeFi and algorithmic trading product team, using Python, PyTorch, and gradient boosting frameworks.
Lead Applied ML Engineer (LLM Agents & Agentic Systems)
Lead ML Engineer at Sberbank's Applied AI Center, hands-on leading a team building production LLM agents, copilots, and agentic systems using Python, RAG, and backend engineering in an enterprise banking environment.
Middle/senior ML engineer в рекомендации Маркета
Develops recommendation algorithms and ML infrastructure for Yandex Market’s product discovery, optimizing performance, deploying neural models (ONNX/HNSW), and improving ranking systems for millions of users and items.
ML Engineer (AI Agents / Python)
Develop AI agents using Python for Sber's data science initiatives.
NLP engineer в Алису
Build and improve Yandex.Alice’s agentic LLM capabilities, integrating it with real services to handle multi-step user tasks reliably and safely.
Инженер по компьютерному зрению и машинному обучению (Computer Vision / ML Engineer)
Разрабатывает и внедряет модели компьютерного зрения и ИИ для видеоаналитики в реальном времени, интегрируя их в продукты и оптимизируя производительность.
ML Engineer (AI Agents / Python)
Разрабатывает AI-агенты и ML-решения для банковских продуктов юридических лиц, интегрирует модели и данные, обеспечивает их промышленную эксплуатацию с использованием Python, SQL и больших данных.
ML engineer
Зарплата: 200000–280000 RUR (на руки) Мы аккредитованный системный интегратор, работаем с крупнейшими заказчиками по формату IT-аутстаффинга. Сейчас мы ищем опытных инженеров, которые смогли бы усилить проекты наших…
ML Engineer
ML Engineer builds and integrates AI agents, LLM systems, and NLP pipelines for a major bank's IT projects using Python and modern AI/ML tooling.
ML engineer/ Computer Vision and Generative AI
Build and deploy a computer-vision pipeline that turns customer photos into flawless 2D/3D product assets for e-commerce, using diffusion models, GANs and transformers while guaranteeing zero hallucination.
QA-инженер (AI/ML)
Senior QA engineer tests AI/ML components and services, focusing on RAG pipelines and LLM metrics using Python, SQL, and REST APIs.
Аналитик по данным AI/ML
Middle AI/ML data analyst at Rubytech in Moscow conducts EDA, builds ML metrics, and monitors models using Python, SQL, and visualization tools.