Computer Vision & Machine Learning Engineer

ALTROCKS TECH PTE. LTD.; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

An innovative technology firm is seeking a skilled Computer Vision Engineer to develop and implement cutting-edge applications. This role involves utilizing advanced techniques like OpenPose and YOLO for image and object recognition, optimizing image processing pipelines, and collaborating with cross-functional teams to deploy solutions. Ideal candidates will have a strong background in programming languages such as C#, Python, and Java, along with experience in real-time image processing and deep learning frameworks. Join a dynamic team and contribute to exciting projects that push the boundaries of technology in a collaborative environment.

Qualifications

• Proficiency in C#, Python, and Java; C++ preferred.
• Strong knowledge of OpenPose, OpenCV, and Mediapipe.

Responsibilities

• Develop and implement computer vision applications using OpenPose and OpenCV.
• Optimize image processing pipelines for performance and accuracy.

Skills

C#

Python

Java

C++

OpenPose

OpenCV

Mediapipe

YOLO

TensorFlow

PyTorch

Job description

• Develop and implement computer vision application using OpenPose, OpenCV, and Mediapipe.

• Utilize YOLO or other ML-based techniques for image and object recognition.

• Optimize image processing pipelines for performance and accuracy.

• Develop adaptors/interfaces for ML models into applications.

• Collaborate with cross-functional teams to deploy solutions.
  

Requirements:

• Proficiency in programming languages: C#, Python and Java. C++ knowledge will be preferred.

• Strong knowledge of OpenPose, OpenCV, and Mediapipe.

• Experience with YOLO and other object detection frameworks.

• Familiarity with deep learning frameworks such as TensorFlow or PyTorch.

• Experience in real-time image processing and optimization.

• Strong aptitude in picking up (operation knowledge) in more than one types of system
  

Preferred:

• Experience with GPU acceleration and CUDA programming.

• Knowledge of cloud-based ML deployment.

• Understanding of edge ML and embedded systems.

• Prior experience in ML model training and fine-tuning.