Senior AI Engineer

Key Responsibilities:

• Architect and implement scalable AI models for financial time series forecasting, market behavior prediction, and NLP-based data extraction.
• Develop and optimize deep learning models including RNNs, LSTMs, ConvNets, and Transformer-based architectures for structured and unstructured data.
• Design and apply reinforcement learning (RL) algorithms for trading strategy development and backtesting.
• Build and improve forecasting pipelines integrating exogenous features, real-time feeds, and sentiment analysis.
• Work with large-scale datasets to develop robust and accurate predictive models.
• Continuously monitor model performance and retrain/refine as needed.

Requirements:

• 4+ years in ML/DL, with proven work in trading, related AI systems.
• Strong expertise in time series modeling, forecasting algorithms, and financial data analysis.
• Deep understanding of RNNs, LSTMs, GRU...