Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Intern developer building AI agents for legal workflows at Sber, gaining hands-on experience with AI/ML tools and legal tech systems.
Build and improve deep-learning models to detect audio deepfakes, using PyTorch and modern audio feature pipelines like spectrograms and wavelets.
Администрирует и настраивает EDR-системы на Windows, Linux и macOS, обновляет агенты, анализирует логи и решает инциденты безопасности.
Architect who ensures IT systems across Sber’s subsidiaries align with corporate standards, evaluates initiatives, and drives AI adoption in enterprise processes.
SRE engineer builds and improves monitoring for an HR platform using Grafana, VictoriaMetrics, Prometheus, and Zabbix, and develops AI agents in Python for anomaly detection and automated incident response.
QA engineer builds and runs manual and automated tests for backend services and AI agents in a large HR platform, using Python, REST APIs, PostgreSQL, and CI/CD pipelines.
Leads QA processes for an HR platform, improving product quality and automating testing with AI in a microservices environment.
Corporate architect to design and implement AI-driven solutions for digital product lifecycle in banking, ensuring alignment with enterprise architecture and DevOps best practices.
Maintains and administers payroll services for the HR platform Pulse and SAP HCM, handles 2nd-line support, tests new features, and writes SQL queries for error analysis.
Разрабатывает AI-инструменты для автоматизации тестирования: генерирует тесты, оптимизирует их с помощью LLM и интегрирует в CI/CD пайплайны на Python и Kubernetes.
Designs and builds data pipelines and warehouses for an HR analytics platform, using SQL, ClickHouse, and ETL tools to feed ML models and HR insights.
Lead a DevOps team to maintain and scale CI/CD pipelines and infrastructure for a large HR platform, ensuring reliability and automation across hundreds of product teams.
Builds and maintains the backend framework and tooling infrastructure for an AI assistant that integrates large language models with external tools to solve real-world user tasks.
Leads a team building and scaling a large-scale web-crawling and data-pipeline system in Python to feed AI training, focusing on distributed architecture, performance, and global traffic routing.
ML Engineer role focusing on Online RL and Post-Training LLM, responsible for developing methods, conducting experiments, and improving model quality at Сбер in Moscow.
Senior Data Analyst at Sber’s auto-industry analytics unit, mining market and customer data to shape business strategies using SQL, Python, and BI tools like Tableau.
Senior Research Engineer focused on large language model pretraining, optimizing training recipes, architectures, and distributed training infrastructure using PyTorch on H100/B200 clusters.
Senior Data Scientist at SberAds builds and improves predictive models and high-load services for real-time ad auctions, using Python, Go, Spark, and related ML tools.
Senior Python engineer building distributed search engines and indexing pipelines for AI systems, focusing on vector, text, and hybrid search at scale.
Lead the architecture and pretraining of large language models for GigaChat, designing MoE and Transformer-based models, scaling laws, and long-context features on H100/B200 clusters.
We couldn't check your fit for this role — add a CV to your profile to see it next time.