Senior Vision Model Architect

7 days ago

Singapore beBeeComputer Full time $100,000 - $150,000
Job Title:

A Computer Vision Expert is required to develop and deploy robust computer vision pipelines.

The ideal candidate will own the full lifecycle of CV models, from data curation and preprocessing, through model training and evaluation, to deployment, monitoring, and automated retraining.

This role requires a strong background in full-stack ML development, combining deep modeling expertise with disciplined engineering and deployment practices.

Key Responsibilities:
  • End-to-End Vision Systems
  • Design and develop computer vision pipelines covering data ingestion, cleaning, augmentation, and preprocessing.
  • Train and optimize CV models using PyTorch, TorchVision, and modern frameworks like YOLO, Detectron2, MMDetection, and DINO.
  • Automate evaluation workflows to benchmark performance and detect drift over time.
    • Production Deployment & Integration
    • Deploy models with containerized environments like Docker, TorchServe, ONNX Runtime, and BentoML.
    • Collaborate with engineers to integrate models into larger platforms with reliability at scale.
      • Automation & Orchestration
      • Design automated pipelines for data validation, retraining, and deployment.
      • Implement workflow orchestration using Airflow, Prefect, or Dagster for scheduled training, monitoring, and failure recovery.
        • Monitoring & Reliability
        • Monitor production performance, detect drift, and handle recovery gracefully.
        • Build alerting and observability using Prometheus, Grafana, or OpenTelemetry.
        • Contribute to MLOps tooling for reproducibility, experiment tracking, and data versioning.
        • Work with AI Engineers to ensure clean integration with orchestration frameworks.
        Requirements:
        • 6+ years of ML or CV engineering experience, including 3+ years building production-grade vision systems.
        • Strong knowledge of CV tasks and architectures.
        • Proficient in PyTorch, TorchVision, Albumentations, and modern CV frameworks.
        • Proven experience training and tuning models on real-world datasets.
        • Skilled in production deployment.
        • Strong software engineering foundation: clean Python, Git workflows, testable architecture.
        • Experience with ML orchestration tools.
        • Familiarity with monitoring and alerting systems for ML models.
        What We Offer:
        • Autonomy and ownership in a small, agile team.
        • An international environment where team members come from various countries.
        • A low-bureaucracy, high-impact startup environment.
        • DIRECT collaboration with top AI researchers and computer vision scientists.
        • Hybrid work setup: ~2–3 days in office per week.

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