Computer Vision Tech Lead: Edge Deployment & Live Analytics

SIGMAWAVE AI PTE. LTD.; Singapore; Hybrid; SGD 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

Hybrid working: on-site in Singapore /

Ownership of CV for a live product

Exposure to government agencies and G|

Competitive compensation and/prof dev

Zusammenfassung

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.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

PyTorch

OpenCV

Docker

Linux

Communication

Ausbildung

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

Tools

ONNX

TensorRT

OpenVINO

Milestone XProtect

Axis Camera Station

Jetson

DeepStream

Triton

Jobbeschreibung

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.