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Job Description & How to Apply Below
- 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
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