Senior/Lead Research Engineer (MIV/Optics and Imaging Systems Group), SIMTech

Agency for Science, Technology and Research (A*STAR); Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading research agency is seeking an AI Specialist in Optics and Imaging Systems to enhance capabilities in automated inspection technologies. The role entails developing AI modules, deploying complex models, and employing advanced imaging techniques to support manufacturing. Ideal candidates will possess strong machine learning expertise, programming skills, and a collaborative mindset.

Qualifications

• Expertise in machine learning and deep learning frameworks.
• Strong programming skills in Python and experience with C++.
• Proven ability in AI-driven image processing.

Responsibilities

• Design training methodologies for AI in imaging systems.
• Evaluate tools for AI and deep learning technologies.
• Assist in training courses for AI image processing.

Skills

Machine Learning

Deep Learning

Python

Computer Vision

Data Augmentation

Education

Bachelor's degree in Artificial Intelligence

Bachelor's degree in Software Engineering

Relevant computing engineering degree

Tools

TensorFlow

PyTorch

Keras

OpenCV

Docker

Kubernetes

Job description

Job Description:

The Optics and Imaging Systems (OIS) Group is a one-stop provider of automated optical and non-optical inspection technologies. The Group carries out collaborative research with academic institutions, co-develops equipment and devices with companies, and provide technical services and training to the manufacturing industry.

The candidate will work closely with senior colleagues within OIS to enhance the Group's Artificial Intelligence (AI) development capabilities in the following areas,

Customised inspection systems for real time detection in production lines

Advanced imaging-based inspection equipment for quality control in manufacturing

Bio-imaging, detection and analysis for digital pathology and diagnostic

The key roles & responsibilities include, but are not limited to:

Design of training methodology and development of AI modules in the following areas,

Segmentation of target objects in images with strong background noise,

Detection and categorization of multi small objects in large image,

Recognition of irregular complicated pattern/structure

Design of training strategies for high accuracy detection with small sample size including research for auto selection of valid training images within a larger image population

Evaluation of commercial and open-source tools for AI, deep learning and related technologies

Assist in training courses in AI-driven image processing and analysis with AI technology

Job Requirements:

Bachelor's degree in Artificial Intelligence, Software Engineering, or relevant computing engineering

Machine Learning and Deep Learning Expertise:

Proficiency in frameworks like TensorFlow, PyTorch, or Keras.

Experience with convolutional neural networks (CNNs), object detection models (e.g., YOLO, Faster R-CNN), and segmentation models (e.g., U-Net, Mask R-CNN).

Familiarity with transfer learning and model optimization techniques

Ability to work with large datasets, including data augmentation and annotation.

Experience with tools like Labelbox, CVAT, or SuperAnnotate for labeling.

Knowledge of deploying models in production environments (e.g., Docker, Kubernetes, TensorFlow Serving).

Familiarity with edge deployment (e.g., NVIDIA Jetson, TensorRT) for industrial applications.

Computer Vision Knowledge:

Strong understanding of image processing techniques (e.g., filtering, edge detection, feature extraction).

Experience with OpenCV, PIL, or similar libraries.

Knowledge of 3D vision and point cloud processing.

Programming Skills:

Proficiency in Python

Experience with C++ for performance-critical applications

Familiarity with software development best practices (version control, testing, debugging)

Good verbal and written communication skills and strong interpersonal skills in engaging peers and management.

Self-motivation, ability to adapt to change and use initiative, proactive team player mindset are highly desirable traits