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Company Overview
This flag carrier of Singapore is widely regarded as one of the world’s best airlines.
Job Title: Information Technology – Senior Data Scientist (Advanced AI Track)
Key Responsibilities include:
As a member of the in-house AI Center-of-Excellence team, this role involves tackling challenging problems in advanced AI, including generative multimodal AI, autonomous agents, NLP, computer vision, recommender systems, mathematical optimization, game theory, and experimental design. The responsibilities include researching and developing advanced machine learning algorithms to meet complex product requirements. This encompasses defining hypotheses, executing necessary tests and experiments, evaluating, tuning, and optimizing algorithms and methods, with a focus on cloud implementation ease, scalability, and robustness in a live customer-facing production environment.
The role also entails providing technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads, who deliver products/services in generative AI, data science, and data analytics to stakeholders across numerous business units. This position serves as a go-to technical expert in their area of AI expertise.
Collaboration with business stakeholders is key to creating impactful and intelligent features/products, working closely with data scientists, data engineers, and data strategists. The role carries strategic ownership of all critical end-to-end AI processes.
Furthermore, the responsibilities include administering and maintaining performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.
Requirements
A PhD degree related to computer science, machine learning, or other AI disciplines is required (exceptional candidates without advanced degrees will be considered). Demonstrated intellectual firepower as a rapid problem-solver and tech lead is essential.
The candidate must possess advanced programming skills in Python, strong technical skills in algorithm design/analysis, data structures, and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java, or C# is a must.
Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing is required.
A minimum of 3 years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning is necessary, with additional specializations in most of the following areas: experience using recent proprietary/open-source 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 LLM application/data frameworks (such as LlamaIndex and LangChain).
The candidate should be highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow) and demonstrate the ability to rapidly adapt, train, and deploy state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning is expected, along with significant hands-on experience in AWS, Azure, GCP, or other public cloud environments.
Excellent mentoring, interpersonal, and communication skills are required for working with both technical staff and non-technical business users. Experience with Agile/Scrum/Kanban methodologies is a plus.
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