Senior Machine Learning Engineer Offline

A fast-growing hedge fund is expanding its AI/ML direction and is looking for a Senior Machine Learning Engineer to design, train, and deploy large-scale ML and agentic models working with complex financial data.
The engineer will collaborate with financial analysts, backend, and frontend teams. This is a high-impact role where your work directly influences trading performance and core investment strategies.
Workload: Full-time/ Location: Remote /Duration: Long-term.

Requirements:
- Experience as a Machine Learning Engineer from 6 years;
- Experience with Tech Stack: Machine Learning, Deep Learning, Python, Large-scale ML Systems, Data Pipelines, Agentic Systems, Financial Data Processing;
- Advanced English level.

Responsibilities:
- Design, train, and deploy ML models and agentic systems;
- Build and maintain large-scale ML pipelines;
- Work with analysts to translate financial logic into ML systems.

Working conditions:
- Paid vacation (15 business days per year);
- Flexible working hours (8 hours a day);
- Paid workshops, conferences, courses.