AI Engineer (Ref 26551)

JOBLINE RESOURCES PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

JOBLINE RESOURCES PTE. LTD. is seeking an experienced ML Engineer to lead architecture, development, and deployment of production-grade geospatial ML solutions.

You will collaborate with software engineers to integrate AI components into end-to-end platforms and own model performance and reliability through MLOps practices. You will work with product, business development, and sales teams to translate objectives into technical requirements and delivery plans, mentoring engineers and supporting

Qualifications

• Bachelor-level knowledge in ML and software development.
• 5+ years delivering production ML solutions.
• Strong ML and deep learning foundations with model optimization.

Responsibilities

• Provide technical leadership in architecture, development, and deployment of ML solutions for geospatial apps.
• Architect scalable ML systems and integrate AI components into platforms.
• Own model performance and system reliability via MLOps, deployment, and monitoring.

Skills

Python

ML frameworks

OpenCV

Docker

APIs

MLOps

Mentoring

Education

Computer Science or Electrical Engineering

Tools

PyTorch

scikit-learn

OpenCV

Flask

FastAPI

Node.JS

Job description

Responsibilities

• 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.

Requirements

• 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.

Licence no: 12C6060