You will partner business leads and management to lead initiatives and teams in building Artificial Intelligence (AI) solutions for the Urban Planning domain. You will serve as the subject matter expert in the application of machine learning and natural language processing techniques in knowledge-based systems, to equip the client's planning processes with AI decision support systems, that strengthens the client's ability to meet the needs of a changing operating environment.
You will work closely with management to formulate, refine, drive and implement the client's AI strategy, as well as to advise the client on Data Strategy and System Design efforts.
You will work collaboratively with internal user groups (Urban Planners, Architects, Data Engineers, Data Scientist, Software Developers) in the design, development and deployment of the solutions, as well as train team members in the use of AI technologies.
You will collaborate with agencies, academic and industry partners to harness external expertise to inform and address capability gaps, as well as foster an AI Urban Planning eco-system.
You will need to present to senior management the progress of AI efforts, and explain complex technical information and analysis in a manner where the key principles, concepts and implications are easy for a general audience to understand.
Salary: $8000 - $10,000
•Have a keen interest in cities and in applying AI expert knowledge to develop solutions that will enable Urban Planners to make Singapore an even more liveable and economically competitive city
•Doctoral degree in Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics; or Master degree in these fields with significant work experience
•Expert knowledge in at least 1 of the following areas, with good understanding of the others:
oCommon machine learning algorithms and key parameters, with experience in applying Supervised, Unsupervised and Reinforcement Learning on time-series and multi-dimensional data
oNatural Language Processing, Natural Language Understanding, Natural Language Generation with experience in applying Information Extraction and Classification on large volume of documents
oKnowledge-based Systems (KBS), with experience in building knowledge base (including knowledge graph) and designing expert systems with ability to interact with people through question and answering
•Demonstrable experience in the areas above, and a good track record of working with cross-functional teams, ideally experience in leading a team of engineers in development and training of ML models using best practices in an Agile manner
•Familiar with setting up of an AI Lab with infrastructures (e.g. GPU, Spark Cluster), AI software delivery using microservices/container (Docker, Kubernetes), cloud technologies (Microsoft Azure/AWS), Machine Learning Operations framework (mlflow, Kubeflow)
•Is keen to learn and share new methods and techniques with team members
•Good communication and inter-personal skills