Senior Machine Learning Engineer

**Full-time · Long-term 

We are looking for a Senior Machine Learning Engineer with a strong background in financial data, large-scale ML systems, and production-level model deployment.

You will play a key role in building AI-powered trading models and agentic systems for a global hedge fund.

Your work will directly influence trading performance, risk management, and the fund’s core investment strategies.

Minimum Qualifications

- 6+ years of experience in Machine Learning / Deep Learning

- Strong production expertise with Python (NumPy, Pandas, PyTorch or TensorFlow)

- Proven experience training and shipping deep-learning models to production

- Experience building large-scale ML systems and ML/Data pipelines

- Hands-on experience with financial datasets, including:

    - time-series

    - tick / market data

    - order book data

    - equities, options, futures

- Solid understanding of:

    - market microstructure

    - feature engineering for trading

    - look-ahead bias

    - backtesting and model validation

    - regime shifts and non-stationary markets

- Strong knowledge of algorithms, data structures, and software engineering principles

- Experience working in cloud environments (AWS/GCP/Azure), Docker, CI/CD

- Advanced English — ability to present work, join discussions, and communicate with analysts/traders

Preferred Qualifications:

- Master’s or PhD in Computer Science, Mathematics, Engineering, or related fields

- Experience working in hedge funds, trading firms, or fintech

- Experience leading complex technical projects or mentoring engineers

- Background in:

    - risk models

    - options pricing

    - forecasting / alpha signal generation

    - portfolio optimization

- Experience with agentic systems, tool-based LLM pipelines, or multi-agent architectures

- Experience integrating multiple external market data sources

Responsibilities:
 

- Design, train, and deploy ML and agentic models for financial markets

- Build and maintain large-scale ML pipelines processing multi-source financial data

- Work closely with financial analysts to translate domain expertise into ML systems

- Integrate models into trading infrastructure together with backend engineers

- Analyze market data, build features, and optimize predictive performance

- Improve existing models and contribute to next-generation trading algorithms