Machine Learning (Vision) Engineer

TELERADIO ENGINEERING PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

TELERADIO ENGINEERING PTE. LTD. in Singapore seeks a dedicated machine vision engineer to bring machine learning driven insights into automation solutions.

You will design inspection systems, evaluate models, and deploy edge-optimized CV/DL solutions with a focus on reliability and performance. The role requires hands-on experience with Python or C++, TensorFlow or Keras, and a strong foundation in computer vision.

Qualifications

• Bachelor/Master in CS, EE, ML or related field.
• 2+ years in computer vision and/or deep learning for object detection.
• Strong knowledge of CV and DL algorithms.
• Proficiency in Python or C++.
• Experience with TensorFlow or Keras.

Responsibilities

• Design and develop machine vision inspection solution.
• Develop and optimize CV/DL models for automation applications.
• Define data acquisition to build training databases.
• Explore data to identify features and distribution changes.
• Deploy models on edge devices and maintain for future needs.

Skills

Machine learning

Computer vision

Python

C++

Data structures & algorithms

Education

Bachelor/MSc in Computer Science, Electrical Engineering, Machine Learning or related field

Tools

TensorFlow

Keras

OpenCV

Job description

Overview

The Role: We are looking for machine vision engineer that has a strong interest on working with machine learning. This position is newly created role to introduce and implement machine vision to enhance the performance and reliability of new and/or existing automation solutions.

Responsibilities

• Design and develop machine vision inspection solution
• Working with the raw image data, research, develop, evaluate, and optimize various computer vision and deep learning models for related automation applications
• Define and supervising the data acquisition process to build up training database
• Exploring and visualizing data acquired to identify features, differences in data distribution that could improve performance when deploying the model in the real world
• Deploy machine vision models on edge devices after optimization to meet customer requirements and maintain them to later improve to address additional customer requirements in future.

Requirements

• Bachelor/MSc in Computer Science, Electrical Engineering, Machine Learning or in related fields with relevant technical knowledge and experience in computer vision will be considered.
• At least 2 years of experience in computer vision and/or deep learning for object detection and tracking along with semantic or instance segmentation either in academic or industrial domain.
• Excellent understanding and breadth of computer vision and deep learning algorithms.
• Strong foundation in data structures and algorithms in Python or C++
• Proficiency with a deep learning framework and tools such as TensorFlow or Keras
• Ability to produce solutions independently in an organized manner and be able to work in a team
• Willing to learn and positive, can-do attitude