Responsibilities:
Conduct original research in machine learning, developing novel algorithms and models to build trading strategies. Collaborate with teams to design, implement, and evaluate machine learning models. Stay updated with the latest advancements in AI/ML technologies and publish findings. Mentor and guide junior researchers in machine learning projects. Contribute to the development of intelligent systems across various domains, such as natural language processing and robotics.
Qualifications:
Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Minimum of 3-5 years of experience in machine learning, deep learning, or AI research. Proficiency in programming languages such as Python, R, or Julia, with experience in ML frameworks (e.g., TensorFlow, PyTorch). Strong background in mathematical modeling, probability, and statistics. Excellent communication skills, including technical communication for non-technical audiences.