About this role
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. J-18808-Ljbffr
Frequently asked questions
What does a Data Scientist — Real‑Time ML for Air Traffic & AI at Thales do?
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…
How much does a Data Scientist — Real‑Time ML for Air Traffic & AI at Thales pay?
This role lists a salary of S$120 – S$180 per month.
Is this Data Scientist — Real‑Time ML for Air Traffic & AI role remote, hybrid, or on-site?
The listing is based in Singapore. Check the posting for remote or hybrid options.
How do I apply for this Data Scientist — Real‑Time ML for Air Traffic & AI role?
You can apply directly on Thales's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.