Senior Computer Vision Engineer

Digital Place Vision Pte Ltd; Singapore; Hybrid; SGD 120.000 - 180.000; Vollzeit

Zusammenfassung

Digital Place Vision Pte Ltd seeks a Senior Computer Vision Engineer to build end-to-end CV systems for retail shelf analytics from edge to cloud. You will lead model optimization for Android and cloud platforms, and shape production ML pipelines with emphasis on performance and reliability.

Join a cutting-edge team applying vision AI to real-world retail challenges, collaborating with hardware and software engineers to deploy scalable solutions across multiple markets.

Qualifikationen

• Proficiency in Python, C++, PyTorch/TensorFlow, and OpenCV.
• Experience deploying ML models on Android and cloud platforms.
• Familiarity with MLOps tooling and model monitoring.

Aufgaben

• Design AI pipelines for product detection, recognition, localization, and shelf segmentation.
• Optimize models for Android/edge devices and cloud deployments (TensorRT, ONNX Runtime, CUDA).
• Conduct field testing in retail/warehouse environments to handle edge cases.
• Establish production-ready MLOps pipelines and monitoring for drift and metrics.

Kenntnisse

Python

C++

PyTorch / TensorFlow

OpenCV

Tools

Docker

Kubernetes

GCP

AWS

Azure

TensorRT

ONNX Runtime

NCNN

FiftyOne

MLflow

W&B

TensorBoard

Grafana

Jobbeschreibung

# Senior Computer Vision EngineerNow Hiring **Location:**Indonesia, Singapore **Job Type:**Full TimeAre you passionate about turning complex visual data into real-world AI impact? At Digital Place Vision, we are on a mission to transform the retail industry using cutting-edge computer vision to tackle planogram compliance and retail shelf analytics at scale (recognizing over 5,000+ SKUs!). We’re looking for a Senior Computer Vision Engineer to design, build, and deploy end-to-end CV systems—from edge devices (Android) to cloud inference. What You’ll Do: – End-to-End CV Systems: Lead the design of AI pipelines for product detection, recognition, localization, and shelf segmentation. – Model Optimization & Edge AI: Optimize models for inference acceleration on Android/Edge devices and cloud environments (TensorRT, ONNX Runtime, CUDA). – Real-World Field Testing: Conduct extensive testing in actual retail/warehouse environments to solve tricky edge cases (lighting, camera angles, motion blur). – MLOps & Observability: Establish production-ready MLOps workflows, tracking model drift, metrics, and deployment pipelines. What We’re Looking For: – Tech Stack: Strong proficiency in Python, C++, PyTorch / TensorFlow, and OpenCV. – Edge & Cloud Deployment: Hands-on experience optimizing models for compute-constrained environments (Android GPU/NCNN/TensorRT) and cloud platforms (GCP/AWS/Azure, Docker, K8s). – Tooling: Experience with dataset analysis & MLOps tools (FiftyOne, MLflow, W&B, TensorBoard, Grafana). – Bonus Points: Experience with ROS / ROS2, barcode decoding libraries (Halcon, ZBar), or retail/logistics CV systems! What We Offer – Build real, cutting-edge AI robotics products deployed directly into commercial settings. – Lead core visual algorithm architecture from the ground up. – Collaborate deeply with top-tier AMR and drone R&D teams. – Competitive compensation & an innovation-first culture. Learn more about us: **digitalplace.ai** Follow us on LinkedIn: Digital Place Vision Pte Ltd Interested? Send your updated CV to Form Let’s shape the future of smart retail together.