[T05] AI Engineer (Permanent)

Roles & Responsibilities

Responsibilities

● Provide technical leadership in the architecture, development, and deployment of production-grade machine learning solutions forgeospatial 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.

Requirements

● Background 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 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.

Work Location: Central/North

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to chally@talentsis.com.sg for immediate processing.

Only shortlisted candidates will be notified.

Tell employers what skills you have

Machine Learning
Model Driven Development
Computer Engineering
Continuous Improvement
Development
Pre-Sales Support
scientific discipline
Translate Into Technical Requirements
Computer Science
Monitoring
Product Handling
Technical Leadership
Business Development
Software Integration
Electrical Engineering
Deployment