Job Role- Computer Vision Engineer
Job Type- Part-time
Role Overview
We're looking for professionals who can design and execute a fast, accurate outlet identification solution using Google Street View and OCR technologies.
Key responsibilities include:
- Designing and developing an algorithmic approach to identify potential outlets from street-level imagery
- Applying OCR techniques to extract and interpret outlet-level information
- Executing solutions efficiently to meet tight timelines
- Ensuring scalability, reliability, and performance without compromising accuracy
Technical Requirements
- Experience: 3+ years in ML engineering, computer vision, or data/AI infrastructure roles
- Cloud Platforms: Hands-on experience with AWS, GCP, or Azure
- Tools & Orchestration: Experience with Docker, Kubernetes, MLflow, Ray, or Airflow
- AI/ML Knowledge: Understanding of model deployment, scaling challenges, and AI pipelines
- Scripting: Strong Python and/or Bash skills for automation and workflow execution
Why Join BeGig
- Impact: Work on real-world, high-impact AI and data-driven projects
- Flexibility: Fully remote, project-based opportunities aligned with your skills
- Community: Join a fast-growing network of top AI and engineering talent
