Collaborate with the founding team to design, develop, and deploy a system of advanced machine learning models for stock market trading
Optimize and scale machine learning systems to handle large, complex financial datasets.
Stay ahead of the curve by exploring new deep learning techniques and integrating them into production.
Requirements
Proven experience in building and deploying machine learning models in production, preferably in high-stakes environments.
Strong programming skills in Python, with expertise in libraries such as PyTorch
Deep understanding of machine learning concepts such as transformers, deep reinforcement learning, and optimization techniques.
Experience working with large-scale datasets, time series, and financial data.
Excellent problem-solving skills and ability to communicate complex ideas clearly.
Bonus
Experience in fintech, particularly with stock market models, algorithmic trading, or financial time series.
Knowledge of financial systems, trading platforms, and high-frequency trading environments.