Research Engineer (AI Implementation)

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

Job summary

A leading company in AI technologies is seeking an Engineer to join their dynamic development team. The role entails enhancing vision-based products and creating algorithms for machine learning applications. Ideal candidates will have a strong background in software development and a passion for innovative AI solutions. This position offers a chance to work on cutting-edge technology and collaborate with skilled professionals in the field.

Qualifications

• 3+ years of experience in computer vision, AI, or software development.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with edge computing, IoT, or cloud-based deployment is a plus.

Responsibilities

• Develop computer vision algorithms and AI models for object detection.
• Build scalable software systems for vision-based applications.
• Create and manage data pipelines for AI model training.

Skills

Computer Vision

Machine Learning

Software Development

Problem Solving

Attention to Detail

Education

Bachelor's or Master's degree in Computer Science

Electronics/Electrical Engineering

Data Science

Tools

TensorFlow

PyTorch

OpenCV

LangChain

LlamaIndex

Job description

The Engineer will be a member of one of the development teams of AI based technologies, including the cutting-edge vision-based products, RF non-vision based object detection, edge computing. The ideal candidates will have a strong background in computer vision, machine learning, and software development, with a passion for creating impactful solutions that leverage AI to solve real-world problems.

Duties and Responsibilities

Algorithm Development:

- In-depth development of one of the following:

• Design, develop, and optimize computer vision algorithms
• Design, develop, and optimize AI models for non-vision object detection with 3D point cloud, recognition, segmentation, tracking
• Design, develop, and optimize AI models for distributed edge computing

- Implement deep learning models using frameworks like TensorFlow, PyTorch, OpenCV, LangChain, and/or LlamaIndex.

Software Development:

• Build scalable and efficient software systems for vision-based applications.
• Develop APIs, libraries, and tools to support vision product development.
• Ensure code quality, maintainability, and performance.
• Managing all source codes with version control tools.

Data Pipeline Development:

• Create and manage data pipelines for training and evaluating AI models.
• Work with large datasets, including data collection, preprocessing, and augmentation.

Model Optimization:

• Optimize AI models for performance, accuracy, and resource efficiency under our specific implementation environment..
• Deploy models on edge devices, cloud platforms, or hybrid environments.

Testing and Validation:

• Conduct rigorous testing and validation of vision systems to ensure reliability and accuracy.
• Troubleshoot and resolve technical issues during development and deployment.

Collaboration:

• Work closely with cross-functional teams to integrate vision technologies into broader systems.
• Participate in code reviews, design discussions, and technical brainstorming sessions.

Requirement and Qualification

• Bachelor’s or Master’s degree in Computer Science, Electronics/Electrical Engineering, Data Science, or a related field.
• 3+ years of experience in computer vision, AI, or software development.
• Proficiency in programming languages such as Python, C++, or Java.
• Hands-on experience with AI frameworks (such as, TensorFlow, PyTorch, LangChain, LlamaIndex) and computer vision libraries (OpenCV).
• Strong understanding of machine learning , deep learning, and image processing techniques.
• Experience with edge computing, IoT, or cloud-based deployment is a plus.
• Strong problem-solving skills and attention to detail.
• Good command of both spoken and written English. Proficient in Mandarin is preferred to liaise with mandarin speaking counterpart.