Data Scientist (AI)

RESPONSIBILITY

• Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects.

• 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.

• Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline.

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

• Transfer technology to industry partners.

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

EXPERIENCE AND SKILLS NEEDED

• Postgraduate or Ph.D. Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent.

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

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

• Proficient in building machine learning models to identify, recognise patterns

and make predictions.

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

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

• Experience in model deployment.

• Experience in stakeholder management.

• Experience in agile project management.