ML / AI Jobs in Russia
There are 129 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 76%
- ai 57%
- llm 56%
- nlp 38%
- pytorch 36%
- sql 35%
- docker 31%
How the work is done
- Onsite 32 · 25%
- Remote 32 · 25%
- Hybrid 19 · 15%
Visa sponsorship offered in 41% of the 39 postings that state a position on it.
Seniority
- Senior 45
- Lead 6
- Intern 3
- Middle 3
- C-level 1
- Junior 1
Who is hiring
- 1000+ employees 46
- 501-1000 employees 23
- 11-50 employees 5
- 51-200 employees 4
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.
ML Engineer / Python Developer
Build and scale ML pipelines and recommendation models in Python/PyTorch to personalize user experiences across Sber’s ecosystem of financial, retail, media and healthcare services.
ML/NLP Engineer
Build and deploy NLP models (Transformers, LLMs) for text analysis, RAG, and multi-agent systems on a cloud-native data-processing platform handling 10M events and 10TB daily.
ML Engineer
Build and deploy ML/LLM services for an e-commerce platform, including RAG, agentic workflows, and quality evaluation, using Python, FastAPI, and cloud infrastructure.
Deep Learning Researcher (Middle / Senior)
Researcher builds and deploys time-series forecasting models for quant-finance strategies using reinforcement learning; core stack includes Python, PyTorch, and Scikit-Learn.
Applied ML Engineer (LLM Agents & Agentic Systems)
Центр практического ИИ — подразделение Сбера, которое занимается сложными AI-проектами на стыке прикладных исследований, инженерии и бизнес-внедрения. Мы работаем с задачами, в которых недостаточно применить готовую…
Middle ML Engineer
ML engineer builds AI agents and LLM-powered tools for auto-dealer sales funnels, including speech-to-text, NLP, and real-time CRM integration.
Системный Архитектор AI/ML
Senior ML/AI architect designs and implements AI systems, selects models, and leads ML teams for high-load infrastructure at a cybersecurity-focused hardware/software company in Moscow.
Senior ML Engineer (Uplift)
Senior ML Engineer builds uplift and churn-prediction models in Python, collaborating with marketing and analytics teams to optimize customer retention and campaign impact.
Deep Learning Researcher (гибрид, Москва)
Build and deploy deep-learning forecasting models for DeFi trading strategies using reinforcement learning and time-series data to maximize protocol yield.
ML/AI Developer
Builds and optimizes AI-powered legal RAG pipelines using Qdrant, hybrid search, and LLM providers (Anthropic, OpenAI, YandexGPT) to retrieve and rank relevant legal documents from a 23M+ corpus.
ML Engineer (NLP & Backend)
Build and deploy high-load NLP microservices in Python/FastAPI that fine-tune RuBERT/TinyBERT models, run RAG pipelines on Kafka, and orchestrate AI agents with LangChain/LangGraph to analyze client-meeting transcripts and generate manager recommendations.
FinOps AI / ML Engineer Manager
Lead a team of AI/ML engineers to build FinOps automation and predictive models that optimize cloud spend for enterprise clients using AWS, Azure, and GCP.
Senior Applied ML Engineer (LLM Agents & Agentic Systems)
Senior ML engineer builds production-grade LLM agents and agentic systems for real business workflows, owning end-to-end design, evaluation, and deployment of AI solutions.
Senior Applied ML Engineer (LLM Agents & Agentic Systems)
Senior ML engineer builds production-grade LLM agents and agentic systems for business automation, owning end-to-end design, evaluation, and deployment of AI solutions in a large enterprise.
LEAD AI/ML ENGINEER
Lead AI/ML Engineer builds and scales an AI-powered travel recommendation system using LLMs, RAG, and multimodal search to boost conversion and user experience.
ML Engineer / AI Engineer (LLM)
Build and deploy LLM-based AI pipelines and services, integrating them into corporate products and systems using Python, RAG, and vector databases.