AI Engineer Intern (Video Analytics)

Mikomiko Pte. Ltd.mikomiko.ai; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Mikomiko Pte. Ltd. invites an AI Engineer with strong CV background to design, develop, and deploy video analytics for CCTV applications in Singapore.

You will fine-tune AI models, deploy on CPU/GPU servers, and integrate CCTV systems with RTSP streams. You will work with cross-functional teams to build scalable video analytics solutions, optimize for low latency, and ensure robust client-server architectures across CCTV cameras, servers, and networked devices.

Qualifications

• Bachelor's or Master's degree in CS/EE with CV focus.
• Experience in AI engineering, CV model fine-tuning.
• Proficiency in Python or C/C++, with CV algorithms optimization.

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.

Skills

Computer Vision

Python

C/C++

CUDA

TensorRT

ONNX

Video Analytics

RTSP/Video Streaming

Education

Bachelor's or Master's in CS/EE

Tools

TensorRT

FFmpeg

Docker

Kubernetes

OpenCV

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.

• 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).
• 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.