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Lead the online reinforcement learning team for STEM-focused LLM post-training at GigaChat, designing RLHF pipelines, reward models, and data curation to improve reasoning in math, physics, and other sciences.
Lead the online reinforcement-learning team for GigaChat, designing post-training methods, reward models, and data pipelines to make the LLM more helpful and user-friendly.
Build and optimize large-scale generative language models (LLMs) for GigaChat, focusing on Russian-language performance, distributed training, and efficiency improvements.
Build and deploy AI agents for process optimization in banking, focusing on NLP tasks like semantic search, classification, and LLM fine-tuning (SFT, RAG) using Python and frameworks like PyTorch and LangChain.
Senior data scientist leading a small team to build and improve an AI copilot for bank staff, focusing on LLM/NLP models for risk management and customer dialogue.
Senior Data Scientist builds and deploys ML models to optimize pricing, orders, and logistics for a large fashion ecommerce retailer using Python, PyTorch, and Spark.
Build and maintain cloud data pipelines and platforms for clients using AWS/GCP/Azure, Snowflake, Databricks, Airflow, Spark, and Python.
Lead AI engineering projects, architecting and deploying Classical, Generative, and Agentic AI solutions in Python while mentoring teams and aligning with client needs.
Зарплата: от 270000 RUR (до вычета налогов) Компания: АО «Интеллект Машин» - разработчик высокотехнологичных роботизированных комплексов. Мы объединяем IT-решения и реальное производство, создавая интеллектуальные…
Build, train, and deploy ML/DL models (including computer vision) to solve business tasks, focusing on data prep, feature engineering, and production monitoring.
Design and deploy production-grade GenAI and ML solutions on AWS, optimizing cost, security, and performance while embedding reusable patterns into DoiT’s Cloud Intelligence platform.
Design and deploy production-grade GenAI and ML solutions on AWS for enterprise customers, focusing on cost efficiency, reliability, and security while creating reusable patterns and driving product adoption.
Мы ищем ML-инженера , который будет разрабатывать и внедрять модели машинного обучения для задач прогнозирования. Вы присоединитесь к команде, которая строит системы, помогающие бизнесу принимать решения на основе…
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, and RAG; evaluate models and datasets.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and vector databases in Python with PyTorch and HuggingFace.
Build and improve NLP and Generative AI solutions using prompt engineering, fine-tuning, RAG, and evaluation frameworks while collaborating with AI Engineering teams.
Build and tune NLP and generative-AI models using prompt engineering, fine-tuning, RAG, and vector databases, then deploy them with Docker and GPU training.
Design and deploy scalable, real-time AI systems including LLM inference pipelines, RAG, and vector databases using Python, TensorFlow/PyTorch, and Kubernetes.
Build and deploy AI-powered cybersecurity agents that autonomously investigate threats using LLMs, tool-calling workflows, and evaluation frameworks.
Build and maintain data pipelines and cross-platform ML models using TensorFlow and PyTorch to process public and customer data for AI training and backend integration.
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