AI Engineer

We are seeking a highly skilled AI Engineer to join a leading investment management firm. In this role, you will design, develop, and deploy machine learning models and AI-driven solutions to enhance trading strategies, portfolio optimization, risk management, and financial forecasting. You will work closely with quant researchers, data scientists, and software engineers to leverage AI for making data-driven investment decisions. Key Responsibilities include developing and optimizing machine learning models for financial market predictions, building AI-powered analytics tools and data pipelines, researching cutting-edge deep learning, NLP, and reinforcement learning techniques, working with quantitative researchers and traders, improving model performance, ensuring explainability and robustness, optimizing execution speed, and leveraging distributed computing and cloud infrastructure. Required qualifications include a degree in Computer Science, Machine Learning, Mathematics, or related fields; programming skills in Python and experience with frameworks like TensorFlow, PyTorch, Scikit-learn; experience with financial data and AI/ML models in trading; familiarity with time-series forecasting, NLP, reinforcement learning, generative AI; proficiency in data engineering, big data processing, and cloud computing; strong understanding of statistical modeling, probability, and optimization; and collaboration skills. Preferred qualifications include experience in hedge funds, asset management, or proprietary trading, knowledge of market microstructure and trading strategies, familiarity with C++ or Rust, and experience with automated trading systems and AI-driven portfolio optimization.