Senior / AI Engineer (DS/CY/Geo-Insights)

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 – Geo-Insights

ST Engineering Geo-Insights Pte Ltd is a satellite downstream services provider focused on satellite ground station operations, satellite imagery distribution and generating insights from geospatial data for maritime, agriculture and sustainability applications. We are looking for team members who are passionate about implementing technological solutions to solve real world problems and delivering social, economic and environmental value. You can look forward to a growth-oriented career in a supportive and fast-paced environment.

Together, We Can Make A Significant Impact

As a Senior AI Engineer, you will provide technical leadership in the design and delivery of production-grade AI solutions for geospatial applications. You will architect, develop, and deploy scalable machine learning systems, working closely with software engineers and product teams to integrate AI components into end-to-end platforms. Taking ownership of model performance and system reliability, you will drive best practices in MLOps, deployment, and continuous improvement, while mentoring engineers and guiding technical decisions to ensure high-quality, impactful AI products.

Be Part of Our Success

• Provide technical leadership in the architecture, development, and deployment of production-grade machine learning solutions for geospatial applications.
• Architect scalable machine learning systems and partner with software engineers to integrate AI components into end-to-end platforms.
• Own model performance and system reliability by driving best practices in MLOps, deployment, monitoring, and continuous improvement.
• Work closely with product, business development, and sales teams to translate business objectives into well-defined technical requirements and delivery plans.
• Mentor engineers and guide technical decisions, while providing technical support for pre- and post-sales activities as required.

Qualities We Value

• Knowledge in Computer Science, Electrical Engineering, or a related discipline.
• At least 5 years of relevant experience delivering production machine learning solutions.
• Strong foundation in machine learning and deep learning, including model development, evaluation, and optimization.
• Proficient in Python, with hands-on experience in common ML frameworks (e.g., PyTorch, scikit-learn) and computer vision libraries (e.g., OpenCV).
• Experience with deploying and operating ML services, including API development (e.g., Flask / FastAPI / Node.JS) and containerisation (e.g. Docker).
• Experience with large language models, retrieval-augmented generation, retrieval optimization, and graph databases is an advantage.
• Self-motivated and proactive, with strong ownership, stakeholder management, and the ability to mentor and work effectively across teams.

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.

Working Location: Ang Mo Kio