AI/ML Expert

2 months ago

Singapur, Singapore Singapore Airlines Full time

Job Title: Information Technology

About the Role:

Singapore Airlines is seeking a highly skilled AI/ML expert to join our team and drive our AI and data science initiatives. As a key member of our in-house AI Center-of-Excellence team, you will work on challenging problems in advanced AI, including generative multimodal AI, autonomous agents, NLP, computer vision, and recommender systems.

Key Responsibilities:

  • Develop advanced machine learning algorithms to meet complex product requirements, including defining hypotheses, executing necessary tests and experiments, evaluating, tuning, and optimizing algorithms and methods.
  • Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads, delivering products/services in generative AI, data science, and data analytics to stakeholders in a large number of business units.
  • Work closely with business stakeholders to create impactful and intelligent features/products, collaborating with other team members, including data scientists, data engineers, and data strategists.
  • 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, with at least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java, or C#.
  • 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: recent proprietary/open-source LLM APIs, software development skills involving multi-agents and prompt engineering using LLM application/data frameworks, GPU-accelerated deep learning frameworks, 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.

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