Information Technology - Senior Data Scientist (Advanced AI Track)

Singapore Airlines; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A global airline company in Singapore is seeking a generative AI expert to lead its AI and data science projects. The ideal candidate will have a PhD in a relevant field, advanced programming skills, and a strong background in machine learning. Key responsibilities include developing cutting-edge algorithms, mentoring a team, and collaborating with stakeholders to drive innovation. This role offers the opportunity to work with large data sets in a fast-paced environment.

Qualifications

• PhD in a relevant field is required, exceptional candidates without advanced degrees may be considered.
• 3+ years of experience in machine learning with hands-on expertise.
• Excellent communication and interpersonal skills.

Responsibilities

• Lead the AI Center-of-Excellence in solving complex AI problems.
• Develop advanced machine learning algorithms for product needs.
• Guide a skilled team of data scientists in project deliverables.
• Collaborate with stakeholders to create impactful AI products.
• Maintain cloud and on-premises GPU resources for ML initiatives.

Skills

Problem-solving

Advanced programming in Python

Algorithm design

Data structures

SQL

Experience with LLM APIs

Cloud expertise (AWS/Azure/GCP)

Mentoring skills

Education

PhD in computer science, machine learning, or AI

Tools

Spark

Kafka

PyTorch

TensorFlow

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 : 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). Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow). 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. 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.