Responsibility:
- Facilitate discussions with stakeholders to understand their business
challenges, sharpen the business use cases and translate them into datascience projects. - Work with product owners, engineering teams, and industry partners throughoutthe product development lifecycle from concept, design, prototyping,acceptance testing, data curation, delivery, operationalisation, industryproliferation, 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 inclose 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 softwaredevelopment lifecycle.
- Transfer technology to industry partners.
- Technical engagement and collaboration with research institutes and institutes of higher learning
Experience and Skills Needed:
- Postgraduateor Ph.D. Background in engineering, computer engineering,computer science, mathematics, statistics or equivalent.
- Strong technical knowledge in AI, specifically in Computer Vision (CV), NaturalLanguage 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 patternsand 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.