- Bedok East Region (Singapore) Singapore
DIGITAL ROUNDABOUT PTE. LTD. Hiring! Full Time AI Enginner in East Region (Singapore), Earn up to SGD 7,200 - Ricebowl
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Job Description
Responsibilities
We are looking for a Video Analysis AI Engineer with a strong foundation across the complete software stack — from ingesting video streams to processing, analysing, and visualising results.
Key Responsibilities
Video & Data Processing
Building and maintaining video processing and analysis pipelines
Work with live and file‑based video streams (IP video, encoded streams)
Support computer vision / video analytics tasks such as detection, metadata extraction, tagging, and quality checks
Software Stack Development
Develop and maintain backend services for video analysis workflows
Work on AI based video analysis and Metadata development
Work with APIs, data stores, and processing jobs supporting AI / ML based analytics outputs
Assist in integrating analytics results with dashboards, logs, or reporting tools
Systems & Operations
Help deploy and test applications in Linux-based and containerised environments
Assist in debugging issues across the stack — ingestion, processing, storage, and outputs
Support monitoring, logging, and performance analysis for live systems
Collaboration & Learning
Work with Junior/Intern engineers to mentor production video systems
Document implementations and learn best practices for scalable media platforms
Participate in offshore team's technical work, code reviews and technical discussions
Required Skills & Qualifications
Core Requirements
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
3–5 years of experience in relevant field and technologies.
2+ years of hands-on working experience in Linux environments
Hands-on experience in C, C++, Java and Python (mandatory)
Strong working experience in backend frameworks, scripts, or microservices and databases (SQL and/or NoSQL)
Exposure to video fundamentals (codecs, frames, resolution, bitrates)
Strong knowledge of computer vision or video analytics concepts
Familiarity with libraries such as OpenCV, FFmpeg, or similar is a plus
Exposure to machine learning frameworks (PyTorch, TensorFlow, ONNX), containers (Docker) or cloud platforms
Experience with real-time data or streaming systems
The company has been built based on the concept of Collaborative Enterprise. We have built the company by working together with our partners to provide the best possible products & service at the lowest possible cost to the customer.
Open and free Knowledge Sharing is the key to our growth. A number of individuals working as a team, and a number of teams together to give birth to new Innovative thoughts..
We are a company which is born to provide long term service, where on-going Innovation leads to continuous improvement in the quality of service and reduction in cost. We bring together the best suited resources, explore the most cost effective solution for a customer and deliver a reliable service.
We want to build a company where everyone is encouraged to think freely and experiment. In our endeavour to Innovate and create better efficiencies. We are committed to create an atmosphere where there is no fear of failure.
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Key Responsibilities
Video & Data Processing
Building and maintaining video processing and analysis pipelines
Work with live and file‑based video streams (IP video, encoded streams)
Support computer vision / video analytics tasks such as detection, metadata extraction, tagging, and quality checks
Software Stack Development
Develop and maintain backend services for video analysis workflows
Work on AI based video analysis and Metadata development
Work with APIs, data stores, and processing jobs supporting AI / ML based analytics outputs
Assist in integrating analytics results with dashboards, logs, or reporting tools
Systems & Operations
Help deploy and test applications in Linux-based and containerised environments
Assist in debugging issues across the stack — ingestion, processing, storage, and outputs
Support monitoring, logging, and performance analysis for live systems
Collaboration & Learning
Work with Junior/Intern engineers to mentor production video systems
Document implementations and learn best practices for scalable media platforms
Participate in offshore team's technical work, code reviews and technical discussions
Required Skills & Qualifications
Core Requirements
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
3–5 years of experience in relevant field and technologies.
2+ years of hands-on working experience in Linux environments
Hands-on experience in C, C++, Java and Python (mandatory)
Strong working experience in backend frameworks, scripts, or microservices and databases (SQL and/or NoSQL)
Exposure to video fundamentals (codecs, frames, resolution, bitrates)
Strong knowledge of computer vision or video analytics concepts
Familiarity with libraries such as OpenCV, FFmpeg, or similar is a plus
Exposure to machine learning frameworks (PyTorch, TensorFlow, ONNX), containers (Docker) or cloud platforms
Experience with real-time data or streaming systems
The company has been built based on the concept of Collaborative Enterprise. We have built the company by working together with our partners to provide the best possible products & service at the lowest possible cost to the customer.
Open and free Knowledge Sharing is the key to our growth. A number of individuals working as a team, and a number of teams together to give birth to new Innovative thoughts..
We are a company which is born to provide long term service, where on-going Innovation leads to continuous improvement in the quality of service and reduction in cost. We bring together the best suited resources, explore the most cost effective solution for a customer and deliver a reliable service.
We want to build a company where everyone is encouraged to think freely and experiment. In our endeavour to Innovate and create better efficiencies. We are committed to create an atmosphere where there is no fear of failure.
*************
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