AI Engineer - Predictive Analytics and AI Modelling AI Engineer - Predictive Analytics and AI  …

Terminal 1
in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Last application, 13 Jan 20
80K/month
Terminal 1
in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Last application, 13 Jan 20
80K/month
Play a key role in shaping and developing a multinational insurance organisation's Artificial Intelligence and Machine Learning agenda.

Responsibilities

 

  • Engage business leaders to discuss the business benefits that ML and AI can provide. Evangelize ML and AI throughout the organisation and in the market
  • Identify opportunities to leverage ML and AI technology with Group and Business Units key stakeholders
  • Create and manage use cases to apply ML and AI concepts
  • Develop AI and ML models and algorithms to solve business problems
  • Work with AI/ML/NLP vendors, where appropriate, to transfer knowledge and expertise of the solutions developed by the vendors back to the organisation
  • Document best practices and solution frameworks. Replicate and scale solutions to markets with common/similar business needs
  • Identify and build strategic alliance with influencing and respected partners within the ML & AI community to enrich the internal understanding of this emerging technology

 

Requirements

  • To be successful in this role, the candidate will have a ‘start-up’ mentality and must be able to work within fast moving, ‘hands-on’, results orientated environments. S/he will have a ‘can do’ attitude and be passionate about building and developing new ideas.
  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, Applied Mathematics or related quantitative field
  • 10+ years’ experience in AI, Machine Learning, Predictive Analytics methodology
  • 5-10 years’ experience in implementing and validating big data algorithms and models
  • Fluency in analytical tools such as R, SAS, Matlab
  • Mastery of programming languages such as SQL, C/C++/Java and scripting languages like Perl/Python
  • Experience with deep learning tools such as TensorFlow, Caffe, CNTK, Torch
  • Experience working with Amazon AWS and/or Microsoft Azure
  • Familiar with Hadoop/Spark/Flink or similar big data frameworks
  • Track record of success applying ML and AI concepts to business opportunities and/or problems
  • Proven ability to explain the value of ML and AI to business leaders
  • Proven experience driving large-scale technology initiatives across complex, global organizations
  • Demonstrated leadership qualities, including presentation, influencing and negotiation
  • Project Management Experience preferably with Change Leadership experience as well.
  • Track record of success leveraging relationships and leadership skills to get things done through matrixed teams
  • Ability to pick up insurance concepts quickly
  • Fluent in English and one or more Asian languages a plus
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