is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.
Our history spans more than 50 years, and our strategy is underpinned by our core values - Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture - from the people we hire, to working with each other, to our partners and customers.
About our Business
Our
Training & Simulation Systems
business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.
Together, We Can Make A Significant Impact
This role reports to AI Center Of Excellence Lead and works with members within the AI team and other technical staffs to develop AI models for training and simulation purpose.
Be Part of Our Success
Collaborating with stakeholders to understand the business problem and demand.
Translate the requirement into AI/ML solutions
Evaluate feasibility and implication of different AI solution approaches.
Build or leverage of COTS machine learning models to train, validate and tune models for performance.
Deployment of models for testing and trial.
Detect and test accuracy of models and track performance overtime.
Documentation of model architecture, data source and decisions.
Qualities We Value
Programming & software engineering skills such as
Programming languages: python, C++
Framework: TensorFlow
Version Control: GitHub/GitLab
Understanding of ML such as
supervised, unsupervised and reinforcement learning
Neural networks such as CNNs, RNNs, Transformers
Understanding of MLOps and deployment
Model lifecycle management
CI/CD for ML systems
monitoring and logging
Our Commitment That Goes Beyond the Norm
An environment where you will be working on cutting-edge technologies and architectures.
Safe space where diverse perspectives are valued, and everyone's unique contributions are celebrated.
Meaningful work and projects that make a difference in people's lives.
A fun, passionate and collaborative workplace.
Competitive remuneration and comprehensive benefits.
Location: Ang Mo Kio
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