Computer Vision Tech Lead

SIGMAWAVE AI PTE. LTD.; Singapore; Hybrid; SGD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid working: on-site in Singapore /

Ownership of CV for a live product

Exposure to government agencies and G|

Competitive compensation and/prof dev

Job summary

Sigmawave AI Pte. Ltd. in Singapore is seeking a Computer Vision Tech Lead to drive model development, training and deployment across multi-site environments. You will lead a small CV engineering team and work closely with QA, PMs and clients on live demos and acceptance.

The role focuses on the VMS platform, edge and server deployments, and performance tuning, with hybrid on-site days in Singapore.

Qualifications

• 5+ years in ML or CV, with 2+ years leading/mentoring engineers.
• At least one CV model taken to production and used by real users.
• Strong Python, PyTorch and OpenCV; deployment with ONNX/TensorRT/OpenVINO.
• Solid system architecture: video streams, inference services, Docker and Linux.
• Clear written and verbal communication with engineers, PMs and clients.
• Must be able to work in Singapore, on-site with hybrid work-from-home days.

Responsibilities

• Lead and mentor a 2–5 person CV engineer team and set technical direction.
• Develop, train and evaluate CV models for production deployment.
• Architect video ingestion, inference pipelines and VMS integration.
• Collaborate with QA, PMs and clients during demos and acceptance.

Skills

Python

PyTorch

OpenCV

Docker

Linux

Communication

Education

Bachelor's degree in Computer Science / Computer Engineering / Electrical Engineering

Tools

ONNX

TensorRT

OpenVINO

Milestone XProtect

Axis Camera Station

Jetson

DeepStream

Triton

Job description

Company Overview

Sigmawave AI Pte. Ltd. is a Singapore-based AI infrastructure company and IMDA Pixel Startup Accelerator alumnus. We develop Terra, a Visual Synthetic Data platform generating photorealistic, annotated training data for AI in defence, security, infrastructure, and industrial sectors. We work with government agencies, GLCs and global technology leaders.

To strengthen our computer vision capability, we are hiring a Computer Vision Tech Lead. This role is central to taking our models from experiment to reliable deployment in live, multi-site environments.

Role Summary

The Computer Vision Tech Lead leads our computer vision work as a hands-on tech lead, building, training and deploying models while guiding a small team of computer vision engineers. The main product focus is VMS, our Video Management System: a centralised platform for live video monitoring, playback and event management, with Vision AI operations to deploy, monitor and validate models across large, multi-site environments.

The role works closely with QA, project managers and clients, giving broad exposure to the corporate and software world. This role is based in Singapore, working on-site with hybrid work-from-home days.

Key Responsibilities

1. Model Development & Evaluation

• Build, train and evaluate models for object detection, segmentation, tracking, classification and video analytics.
• Keep model work reproducible through experiment tracking, benchmark datasets and versioning.
• Set evaluation metrics tied to client acceptance criteria, and report clearly what a model can and cannot do.

2. Deployment & Optimisation

• Deploy and optimise models on edge devices and GPU servers, meeting throughput and latency targets.
• Export and accelerate models using ONNX, TensorRT, OpenVINO or equivalent, including quantisation.
• Monitor models in the field and feed field data back into retraining.

3. System Architecture & VMS Integration

• Architect the computer vision parts of our systems, including video ingestion, inference pipelines and VMS integration.
• Design how detections feed into event analytics and situational awareness for operators.
• Integrate cameras and video streams over ONVIF and RTSP across multi-site deployments.

4. Team Leadership & Delivery

• Lead and mentor a team of 2 to 5 computer vision engineers, setting technical direction and reviewing code and models.
• Plan and estimate computer vision work, and keep delivery on track against project milestones.
• Support QA, project managers and clients on demos and acceptance.

Required Qualifications

• 5+ years in machine learning or software engineering, mostly computer vision, including 2+ years leading or mentoring engineers.
• At least one computer vision model taken to production and used by real users.
• Strong Python, PyTorch and OpenCV, plus a deployment toolchain such as ONNX, TensorRT or OpenVINO.
• Solid system architecture skills: video streams, inference services, Docker and Linux, and an understanding of how event data from many sources is combined into operational insight.
• Clear written and verbal communication with engineers, project managers and clients.
• Open to all applicants, but you must be able to work in Singapore, on-site with hybrid work-from-home days.

Preferred Qualifications

• Degree in Computer Science, Computer Engineering, Electrical Engineering or a related discipline.
• Experience working with Synthetic Data Generators or Visual Synthetic Data.
• Participated in and delivered enterprise-grade or public sector projects.
• Experience with video management systems such as Milestone XProtect, Axis Camera Station etc.
• Multi-camera tracking, re-identification or video analytics at scale.
• NVIDIA Jetson, DeepStream or Triton.
• C++ for performance-critical inference code.

What We Offer

• Ownership of computer vision for a live product, from model to deployment.
• Broad exposure to the corporate and software world through work with government agencies, GLCs and global technology leaders.
• A small, senior team where your technical decisions ship.
• Hybrid working: on-site in Singapore with work-from-home days.
• Competitive compensation and professional development support.