AI and Data Science Expert

1 day ago

Singapore beBeeData Full time $80,000 - $120,000
Artificial Intelligence and Data Science Professional

Singapore Airlines is seeking a talented individual to drive our AI, data science and business analytics initiatives.

The ideal candidate will be a member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.

  • Work closely with stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
  • Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/validation of partner-supplied prediction models and in their deployment to production cloud.
  • Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.

The requirements for this role are:

  • A degree in Computer Science, Mathematics, Statistics, Physics or related discipline is required. A PhD and MS degrees related to machine learning and other AI disciplines are preferred.
  • Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
  • Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
  • Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning. Additional exposure in some of the following areas is a plus:
  1. Use of recent proprietary/open-source LLMs through prompt engineering. Familiarity with LLM application/data frameworks is a plus.
  2. Experience of using GPU-accelerated deep learning frameworks such as PyTorch and TensorFlow.
  3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
  • Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
  • Good 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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