Overview

AAA Global is looking for a Machine Learning Researcher to engineer AI solutions for algorithmic trading and time series analysis. The role involves deep learning architecture, deployment of ML models, and working on quantitative finance strategies in Delhi.

Responsibilities

• Engineer scalable deep learning architectures
• Deploy ML models from ideation to live, low-latency production
• Generate alpha from complex, high-velocity datasets
• Exploit complex patterns in alternative data
• Work with data sourcing and feature engineering
• Implement model deployment and monitoring
• Guide cross-functional teams in computational infrastructure adoption

Qualifications

• Advanced degree (Ph.D. or M.S.) in a quantitative field (Computer Science, Statistics)
• Published research in machine learning or related finance
• Solid foundation in probability theory, linear algebra, and time series analysis
• Experience with deep learning frameworks like PyTorch and TensorFlow
• End-to-end ML lifecycle experience

Nice to have

• International talent encouraged
• Professional background in financial quantitative fields
• Experience in deploying scalable ML applications
• Understanding of financial markets and data structures