HCLTech is currently looking for talented Data Scientists to be part of an exciting journey supporting a high-impact government project in Singapore. This is your opportunity to work on complex, meaningful challenges where your expertise in data science will directly contribute to national transformation initiatives.
Responsibilities:
- 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, operationalization, 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.
Requirement:
- Postgraduate or Ph.D. Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent.
- At least 6 years of experience as a Data Scientist.
- 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.
