Senior Computer Vision Lead & Systems Architect

sigmawave ai pte. ltd.

Singapore

Remote

SGD 180,000 - 320,000

Full time

14 days+

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Job summary

Sigmawave AI seeks a hands-on engineering leader to own the technical direction across Computer Vision, Synthetic Data Generation, and Software Architecture. You will lead engineers, set architectures, plan work, and remain close to code to unblock the team.

On client projects you are the technical authority turning requirements into ship-ready systems. You will oversee model lifecycle, deployment on edge and cloud, and drive MLOps, data governance, and reproducible experiments.

Qualifications

  • 8+ years hands-on ML and software engineering experience.
  • Production computer vision systems delivered end-to-end.
  • Strong Python and C++ with PyTorch or TensorFlow.
  • Experience with ONNX/TensorRT and deployment on edge or servers.
  • Solid system-architecture skills: distributed apps, containers and Kubernetes.
  • Excellent communication and client-facing ability; Singapore-based or willing to relocate.

Responsibilities

  • Own technical direction across CV, synthetic data, and software architecture.
  • Lead engineers, unblock issues, and ensure on-time delivery.
  • Guide architecture decisions, planning, and client workshops.
  • Oversee VMS and data pipelines, deployment and monitoring.
  • Collaborate with QA, PM, and business to align scope and delivery.

Skills

ML engineering
Computer vision
Python
C++
PyTorch
TensorFlow
ONNX/TensorRT
Edge deployment

Tools

Docker
Kubernetes
Linux
CI/CD
Git

Job description

Sigmawave AI seeks a hands-on engineering leader to own the technical direction across Computer Vision, Synthetic Data Generation, and Software Architecture. You will lead engineers, set architectures, plan work, and remain close to code to unblock the team.

On client projects you are the technical authority turning requirements into ship-ready systems. You will oversee model lifecycle, deployment on edge and cloud, and drive MLOps, data governance, and reproducible experiments.

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