Chief Computer Vision Architect

3 days ago

Singapore beBeeSoftware Full time $180,000 - $250,000
Automating AI Workflows

We are seeking an experienced Software Engineer to join our team. As a key member of our Computer Vision group, you will play a vital role in developing scalable and production-grade systems that automate ML workflows.

This is a hands-on role where software craftsmanship meets AI expertise. You will design and implement agent-driven systems to automate Computer Vision MLOps workflows, including training, deployment, and evaluation.

You will work closely with researchers and domain experts to translate state-of-the-art ideas into working code. A strong understanding of AI/ML concepts, as well as experience with Python development, CI/CD pipelines, and containerization, is required.

  • Design and implement scalable agent-driven systems for automating Computer Vision MLOps workflows
  • Develop robust APIs and backend services for agent orchestration, memory management, and cross-component communication
  • Integrate vector databases, data quality validation, and semantic search to power intelligent agent behavior
  • Own the end-to-end software lifecycle from development to testing, CI/CD automation, and cloud deployment
  • Build for reliability and maintainability: logging, monitoring, and exception handling are part of your design thinking
  • Optimize performance and cost in storage and compute, especially for vision-specific workloads
Requirements
  • 8+ years of hands-on software engineering experience, with at least 2–3 years building AI/ML systems
  • Strong Python development skills, including writing testable, production-grade code
  • Proven experience with:
    • Designing and deploying CI/CD pipelines for ML systems
    • Containerization and orchestration (Docker, Kubernetes)
    • Cloud infrastructure (AWS, GCP, or Azure)
    • API development using frameworks like FastAPI or Flask
    • Database technologies: SQL/NoSQL and vector databases (e.g., FAISS, Weaviate)
  • Familiarity with AI agent frameworks such as LangChain, AutoGen, CrewAI
  • Solid understanding of Computer Vision workflows, including image classification, detection, and tracking
Nice to Have
  • Demonstrated experience through personal projects, prototypes, or open-source contributions in AI, CV, or agents
  • Hands-on with ML frameworks like PyTorch or TensorFlow
  • Exposure to ML observability and performance monitoring tools (e.g., Grafana, Datadog, Prometheus)

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