Senior AI Scientist — Generative ML & Production Systems

SINGAPORE AIRLINES LIMITED; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

SINGAPORE AIRLINES LIMITED is seeking generative AI/deep learning experts to drive AI initiatives across the organization. You will join the in-house AI Center-of-Excellence to research advanced ML techniques and deliver production-ready features for multiple business units.

Applicants should have a PhD or exceptional credentials, plus strong Python skills and experience with PyTorch/TensorFlow, Spark, Kafka, and LLM APIs for live deployments.

Qualifications

• PhD in computer science, machine learning or related AI field; exceptional candidates may be considered without a degree.
• Strong problem-solving and leadership abilities in AI research and production environments.
• Advanced Python programming and solid knowledge of data structures and SQL.
• Experience with modern ML/DL frameworks (PyTorch, TensorFlow) and cloud GPU environments.

Responsibilities

• Lead and mentor a small team of data scientists in AI-focused projects.
• Research and develop advanced ML algorithms for production-ready use cases.
• Collaborate with stakeholders to create intelligent AI features across business units.
• Maintain and optimize GPU compute resources for model training and inference.
• Shift toward robust, scalable cloud/on-prem deployment of AI models.

Skills

Python

SQL

Scala

TypeScript/JavaScript

Java

C#

Spark

Kafka

PyTorch

TensorFlow

LLM APIs

Education

PhD in CS/ML

Tools

Spark

Kafka

LlamaIndex

LangChain

Job description

SINGAPORE AIRLINES LIMITED is seeking generative AI/deep learning experts to drive AI initiatives across the organization. You will join the in-house AI Center-of-Excellence to research advanced ML techniques and deliver production-ready features for multiple business units.

Applicants should have a PhD or exceptional credentials, plus strong Python skills and experience with PyTorch/TensorFlow, Spark, Kafka, and LLM APIs for live deployments.