Data Scientist

Data and Artificial Intelligence Scientist

We are looking for a Data and AI Scientist to design and develop reusable, scalable, and cost-effective cloud-native data and AI products. You will be part of an AI development team responsible for exploring and developing applications with current state-of-the-art AI technologies. You will participate as a subject-matter expert in cross functional teams working on addressing common industry challenges with data and AI. Successful candidates will be working in a fast-paced environment and participate in multiple projects with technology partners from the industry to develop data-driven and AI-driven products and services that could make a significant positive impact to society. If you are passionate in ML, always curious about the latest AI development and have been practically working on the real-world problems, join us in our journey, and jointly architect Singapore's digital future.

Key Responsibilities

Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life

Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry

Develop software components based on microservices-based architecture

Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle

Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs

Write thought leadership articles, including blogs and papers, on AI

Transfer technology to industry partners.

Technical engagement and collaboration with research institutes and institutes of higher learning.

Requirements

1. Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent

2. Strong technical knowledge in AI, specifically in Computer Vision (CV), Natural Language Processing (NLP), recommendation system and/or Synthetic AI

3. Good understanding of the latest research and technologies in AI for production, including deployment to mobile handsets and IOT devices.

4. Strong coding experience in programming languages such as Python, C++

5. Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch

6. Team player with the ability to work in a cross-functional team with excellent interpersonal skills.

7. Strong communication skills, both verbal and written, as well as strong presentation and engagement skills

8. Strong stakeholder management skills.

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