Computer Vision Engineer

BeGig India
Remote
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AI Summary

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. Experience with ML engineering, computer vision, or data/AI infrastructure roles is required.

Key Highlights
Design and execute a fast, accurate outlet identification solution
Develop an algorithmic approach to identify potential outlets from street-level imagery
Experience with ML engineering, computer vision, or data/AI infrastructure roles
Key Responsibilities
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
Technical Skills Required
AWS GCP Azure Docker Kubernetes MLflow Ray Airflow Python Bash Google Street View OCR technologies
Benefits & Perks
Fully remote
Project-based opportunities aligned with your skills
Impact: Work on real-world, high-impact AI and data-driven projects

Job Description


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


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