AI Expert

2 days ago

Singapore beBeeArtificial Full time

Job Details

Singapore Airlines has various roles for experts to drive AI and data science initiatives.

Key Responsibilities include:

  • Member of the in-house AI team working on advanced AI problems, mathematical optimization, game theory, and experimental design.
  • Develop advanced machine learning algorithms to meet complex product requirements. Define hypotheses, execute necessary tests and experiments; evaluate, tune and optimize algorithms and methods.
  • Provide technical direction and guidance to a team of junior and senior data scientists. Serve as a go-to technical expert in AI expertise.
  • Work closely with business stakeholders to create impactful features/products. Collaborate with other team members including data scientists, engineers and strategists.
  • Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices.

Requirements

  • PhD degree related to computer science or AI disciplines is required (consideration will be given to exceptional candidates).
  • 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 software development using modern languages such as Scala, TypeScript/JavaScript, Java or C#.
  • Hands-on proficiency in workflow/map-reduce and stream processing systems like Spark and Kafka.
  • 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning.
  • Experience in recent 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 application/data frameworks.
  • Highly conversant with GPU-accelerated deep learning frameworks like PyTorch and TensorFlow.
  • Rapid adaptation, training and deployment of state-of-the-art AI models or services in production.
  • 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 technical staff and non-technical business users.
  • Experience with Agile methodologies is a plus.
Tell employers what skills you have

Key Skills:

TensorFlow
Scalability
Scala
Kanban
Azure
Technical Direction
Computer Vision
Microservices
Tuning
PyTorch
Experimental Design
GCP
Data Science
Design Research
C#

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