Information Technology - Senior Data Scientist (Advanced AI Track)

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

Job Description

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the‑art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.