About this role
Design and deploy ML models and reinforcement learning agents for air traffic optimization and spatial-temporal problems. Build RAG pipelines and MLOps workflows to integrate scalable AI solutions into cloud-native environments.
Requires a degree in Computer Science or Data Science with 3-5 years of experience delivering end-to-end ML projects. Proficiency in deep learning architectures, LLM frameworks, and MLOps tools like Docker and Kubernetes is essential.
What they're looking for
PythonPyTorchTensorFlowScikit-learnReinforcement LearningRAG PipelinesLLM EvaluationMLOps
Frequently asked questions
What does a Data Scientist at Thales do?
Design and deploy ML models and reinforcement learning agents for air traffic optimization and spatial-temporal problems. Build RAG pipelines and MLOps workflows to integrate scalable AI solutions into cloud-native environments. Requires a degree in Computer Science or Data Science with 3-5 years of…
What skills does this Data Scientist role need?
Key skills for this role include Python, PyTorch, TensorFlow, Scikit-learn, Reinforcement Learning, RAG Pipelines.
How much does a Data Scientist at Thales pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Data Scientist role remote, hybrid, or on-site?
This role is hybrid, based in Singapore.
How do I apply for this Data Scientist 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.