Data Scientist — Real‑Time ML for Air Traffic & AI
Summary
Builds and deploys real-time ML models for air traffic management, focusing on transformer-based architectures and reinforcement learning to optimize flight operations and safety.
Data Scientist – Thales in Changi, Singapore, on-site. Design, develop, and deploy ML models for real-time air traffic applications using PyTorch, TensorFlow or Scikit-learn, with transformer-based architectures for spatial-temporal problems.
Work on reinforcement learning agents, RAG pipelines, and evaluate LLM outputs for groundedness in ATM contexts. Collaborate with DevOps to deploy in cloud-native environments using Docker/Kubernetes and modern MLOps tools.