Artificial Intelligence/ Machine Learning (AI/ ML) Engineer - DSC/MC

About ST Engineering

ST Engineering 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 Line of Business – Mission Software & Services

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

Together, We Can Make A Significant Impact

We are seeking a motivated AI/ ML Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning and artificial intelligence with expertise in building and deploying AI-driven solutions.

You will work closely with data scientists, software engineers and product teams to design, develop, and implement AI/ ML features that drive innovative Public Safety operations.

Be Part of Our Success

Model Evaluation & Optimization

Evaluate model performance using appropriate metrics, and continuously improve models through hyperparameter tuning, cross-validation, and other techniques.

Deployment & Integration

Deploy machine learning models into production environments, ensuring their scalability, reliability, and performance. Integrate AI models with existing systems and APIs.

Collaboration

Work closely with cross-functional teams (data scientists, engineers, product managers, and designers) to identify business problems and translate them into AI/ ML solutions.

Qualities We Value

• 2+ years of professional experience in AI/ ML engineering or a related field.
• Prior experience as a project member of an AI/ ML implementation project.
• Broad knowledge of current AI/ ML technologies such as Large Language Models (LLMs), Automatic Speech Recognition (ASR) and video analytics and how to incorporate said technologies into solutions across various domains.
• Proficiency in programming languages such as Python, R, or Java.
• Hands-on experience with popular machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, Keras)
• Strong knowledge of algorithms and data structures.
• Familiarity with deep learning, reinforcement learning, computer vision, NLP, or other specialized AI domains.
• Knowledge of SQL and data manipulation.
• Experience with containerization and orchestration tools (Docker, Kubernetes) is a plus.
• Strong analytical skills with the ability to translate complex problems into practical, scalable solutions.
• Excellent written and verbal communication skills. Ability to explain complex technical concepts to non-technical stakeholders.
• Able to work effectively in a collaborative, team-oriented environment.
• Familiarity with agile development methodologies.

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.