Machine Learning Engineer Senior Full-time

#vacancy #job #SeniorMachineLearningEngineer #fulltime Company: NDA (iGaming) Job opening: Senior Machine Learning Engineer Job type: Full-time · Long-term Salary: from 3000$ English: B1. 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 📌 Interested or want to refer someone? Message me on Telegram: @FreeHRarka