Artificial Intelligence Expert

2 weeks ago


Singapore Singapore Airlines Full time

Drive AI Innovation at Singapore Airlines

Singapore Airlines seeks skilled generative AI/deep learning experts to spearhead our AI and data science initiatives.

Key Responsibilities:

  • As a member of our in-house AI Center-of-Excellence team, contribute to challenging projects in advanced AI, including generative multimodal AI, autonomous agents, NLP, computer vision, and recommender systems.
  • Develop and implement cutting-edge machine learning algorithms to meet complex product requirements, defining hypotheses, executing tests and experiments, evaluating and optimizing algorithms, and ensuring cloud implementation ease, scalability, and robustness.
  • Provide technical guidance and direction to a team of junior and senior data scientists embedded in Kanban data squads, delivering products and services in generative AI, data science, and data analytics to stakeholders across various business units.
  • Collaborate with business stakeholders to create impactful and intelligent features and products, working closely with data scientists, data engineers, and data strategists.
  • Administer and maintain performant cloud and on-premises GPU compute resources for training large ML models and providing inference API microservices in production.

Requirements:

  • A PhD in computer science, machine learning, or a related field is required; exceptional candidates without advanced degrees will be considered.
  • Demonstrate intellectual firepower as a rapid problem-solver and tech lead.
  • Advanced programming skills in Python, with strong technical skills in algorithm design, data structures, and SQL.
  • Hands-on proficiency in workflow/map-reduce and stream processing systems like Spark and Kafka for big-data processing.
  • At least 3 years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with specializations in recent proprietary or open-source LLM APIs, software development involving multi-agents and prompt engineering, and GPU-accelerated deep learning frameworks.
  • Significant experience in public cloud environments like AWS, Azure, or GCP.
  • Excellent mentoring, interpersonal, and communication skills for working with technical staff and non-technical business users.
  • Experience with Agile/Scrum/Kanban methodologies is a plus.


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