AI Engineer (Video Analytics) 工作, 薪水 up to SGD 1,200, MIKOMIKO PTE. LTD. 公司招聘中 - Ricebowl

Company

Mikomiko Pte. Ltd.

Designation

AI Engineer (Video Analytics)

Date Listed

01 Jul 2026

Job Type

Entry Level / Junior Executive, Experienced / Senior Executive

Job Period

Immediate Start, For At Least 3 Months

Profession

IT / Information Technology

Industry

Artificial Intelligence / Smart Automation

Location Name

85 Science Park Dr, Singapore Science Park 1, Queenstown, Singapore 118259, Singapore

Address

85 Science Park Dr, Singapore Science Park 1, Singapore 118259

Map

Allowance / Remuneration

$1,200 monthly

Company Profile

Mikomiko Pte Ltd is a cutting-edge technology firm specialising in AI-driven solutions for security, surveillance, and video analytics. We develop innovative systems that enhance real-time monitoring and intelligence through advanced computer vision and AI technologies. Join our dynamic team to work on impactful projects that integrate AI with CCTV systems for many clients.

Job Description

We are seeking a talented AI Engineer with a strong background in Computer Vision (CV) to design, develop, and deploy AI-powered video analytics (VA) solutions, particularly for CCTV applications. The ideal candidate will have expertise in fine-tuning AI models, deploying CV systems on CPU and GPU servers, and integrating end-to-end CCTV systems with RTSP streams. You will collaborate with cross-functional teams to build scalable, efficient solutions that process video feeds, perform real-time analytics, and ensure seamless integration with client-server architectures and network infrastructures. If you thrive in a fast-paced environment and have hands-on experience with CCTV hardware and networks, this role offers an exciting opportunity to drive innovation in surveillance technology.

Job Responsibilities:

• Develop and fine-tune AI and CV models for video analytics applications, including object detection, tracking, anomaly detection, and behavioral analysis in CCTV feeds.
• Deploy CV systems on CPU and GPU servers, optimizing for performance, scalability, and resource efficiency in production environments.
• Design and implement end-to-end CCTV system integrations, handling RTSP stream inputs, video decoding outputs, and embedding CV/AI/VA engines for real-time processing.
• Collaborate on client-server architectures, ensuring robust communication between CCTV cameras, servers, and networked devices.
• Optimize AI models for low-latency inference on edge devices or cloud servers, focusing on CCTV-specific use cases like security monitoring and video surveillance.
• Troubleshoot and debug issues related to video streams, network connectivity, and system performance.
• Conduct testing, validation, and deployment of AI solutions, ensuring compliance with industry standards for data privacy and security.
• Stay updated on emerging CV and AI technologies, contributing to R&D initiatives for next-gen video analytics.

Job Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on Computer Vision (CV).
• 3+ years of professional experience in AI engineering, specifically in CV and AI model fine-tuning (e.g., using frameworks like TensorFlow, PyTorch, or OpenCV).
• Proficiency in programming languages such as Python or C/C++, with hands-on experience in developing and optimizing CV algorithms.
• Proven track record in deploying CV systems on CPU and GPU servers (e.g., using CUDA, TensorRT, or ONNX for acceleration).
• Experience with CCTV video analytics (VA) applications, including processing real-time video streams for security and surveillance.
• Demonstrated expertise in end-to-end CCTV system integration, including RTSP stream handling, video encoding/decoding, and integrating CV/AI/VA as core engines.
• Solid understanding of client-server architectures, CCTV camera systems, internet networks, and protocols (e.g., HTTP, TCP/IP, ONVIF).
• Strong problem-solving skills and the ability to work independently or in a team.

Preferred Skills and Advantages:

• Hands-on experience with CCTV hardware integration, network troubleshooting, and optimizing for edge computing in surveillance environments.
• Familiarity with cloud platforms (e.g., AWS, Azure) for scalable AI deployments.
• Knowledge of related tools like FFmpeg for video processing, Docker/Kubernetes for containerization, or edge AI frameworks.
• Experience in agile development methodologies and version control (e.g., Git).
• Prior work in security or video analytics industries is a plus.
• Excellent communication skills for collaborating with non-technical stakeholders.

Application Instructions

Please apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.