to join our team and drive impactful data-driven solutions. The successful candidate will play a critical role in translating business challenges into data science projects, developing advanced AI models, and collaborating with cross-functional stakeholders to bring innovative products to life.
Key Responsibilities:
Facilitate discussions with stakeholders to understand business challenges, sharpen use cases, and translate them into data science projects.
Work with product owners, engineering teams, and industry partners throughout the product development lifecycle (concept, design, prototyping, testing, curation, delivery, operationalisation, industry adoption, and end-of-life).
Conduct technical assessments on the maturity, viability, and suitability of AI research, technologies, and trends relevant to the industry.
Present findings, solicit feedback, and prioritise refinements while managing overall project timelines.
Participate in agile secure software development processes, including documentation of user requirements and software codes.
Transfer technology and knowledge to industry partners.
Engage and collaborate with research institutes and institutes of higher learning.
Requirements / Skills Needed:
Postgraduate (Masters/PhD) background in Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or equivalent.
Strong technical knowledge in AI, particularly in
Computer Vision (CV), Natural Language Processing (NLP), Recommendation Systems, and/or Synthetic AI
.
Good understanding of the latest AI research and technologies for production, including deployment to mobile handsets and IoT devices.
Proficient in building machine learning models to identify, recognise patterns, and make predictions.
Strong programming skills in
Python, C++
.
Hands-on experience with one or more deep learning frameworks (e.g., TensorFlow, PyTorch).
Experience in model deployment.
Proven stakeholder management skills.
* Experience in
agile project management
.
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