AI/ML Expert

2 months ago

Singapur, Singapore Singapore Airlines Full time
Job Description

Singapore Airlines is seeking a highly skilled AI/ML expert to drive our AI and data science initiatives.

Key Responsibilities:

  • Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI, including areas such as generative multimodal AI, autonomous agents, NLP, computer vision, and recommender systems.
  • Research and 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, and ensuring 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, which deliver products and services in generative AI, data science, and data analytics to stakeholders in various business units.
  • Work closely with business stakeholders to create impactful and intelligent features and products, collaborating with other team members, including data scientists, data engineers, and data strategists, and taking strategic ownership of all critical end-to-end AI processes.
  • Administer and 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, with consideration given to exceptional candidates without advanced degrees.
  • Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
  • Advanced programming skills in Python, with strong technical skills in algorithm design/analysis, data structure, and SQL, and 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: experience in the use of recent proprietary/open-source LLM APIs, software development skills involving multi-agents and prompt engineering using LLM application/data frameworks, and familiarity with GPU-accelerated deep learning frameworks.
  • Significant hands-on experience of AWS, Azure, GCP, or other public cloud environments.
  • 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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