Participate in R&D and deployment of the next generation data-driven solutions for Mobility, within a lean startup pathway and in collaboration of engineering & mobility experts, data engineers, software engineers, HMI designer and MLOps/DevOps.
Singapore Innovation project will be main target among all projects
MAIN RESPONSIBILITIES
Key accountabilities:
Define, develop, manage & sustain the data model, including machine learning, AI, NLP or simulation, such as:
Design technical solution for data-driven approach, including engineering and financial impacts
Build feature extraction model and programming
Build learning models, including unsupervised predictive models and simulation tool
Assess and enhance the data quality of incoming data and model responses
Apply Data management practices
Build report and explanatory materials to share with engineering experts
Evaluate the opportunities from new mathematical and machine learning technologies
Apply a strong testing and quality assurance practices
Performance measurements:
OTD
Developments QCD
MAIN REQUIRED COMPETENCES
Mandatory:
Engineering or master’s degree supplemented by extensive training in data mining and/or machine learning
Desirable:
PhD in the fields of statistics or machine learning or applied mathematics
Mandatory:
Knowledge of the following language: Python or/and R
Knowledge of fundamentals of modern statistics, including time series and signal processing, text mining or image processing
Knowledge of Artificial Intelligence & Machine Learning algorithms (neural network, deep learning etc…)
Experience with database management (SQL, ElasticSearch, etc.)
Experience with LINUX environment (shell scripting)
Desirable:
Experience with PHM or Predictive Maintenance
Experience in Traffic modelling
Experience in NLP
Experience in Video analytics
Experience in Sequence mining
Experience in log analytics
Experience with git and release management
Competencies & Skills
Proven track record for designing stable solution, testing and debugging.
Demonstrated teamwork and collaboration in a professional setting