Engineer Intern

Internship Opportunity – Computer Vision Engineer

Location:

Duration:

Company:

***Note: This is an unpaid internship. Post Internship we may provide full time opportunity if the candidate performs well.***

About Us:

Logiclens Solutions is a cutting-edge AI and video analytics company delivering real-time surveillance intelligence to businesses. We specialize in computer vision applications such as object detection, facial recognition, apparatus detection, people tracking, and automated reporting through AI-driven dashboards.

Role: Computer Vision Intern

Key Responsibilities:

• Assist in designing and implementing computer vision pipelines using OpenCV and other libraries.
• Build and optimize object detection and image/video processing models.
• Integrate machine learning models into scalable web services using

  FastAPI

  or

  Flask

  .
• Develop and maintain frontend dashboards using

  React.js

  ,

  Tailwind CSS

  ,

  HTML/CSS

  .
• Work with RESTful APIs and manage seamless backend-frontend communication.
• Handle database operations using

  MongoDB

  and

  MySQL

  .
• Deploy applications using

  Docker

  containers on

  AWS (EC2, S3, etc.)

  .
• Contribute to CI/CD pipelines using GitHub Actions or GitLab CI/CD.
• Collaborate using Git for version control and code reviews.

Required Skills:

• Computer Vision:

  OpenCV (image/video processing, object detection)

• Languages:

  Python, JavaScript

• Web Frameworks:

  FastAPI, Flask, Node.js, Express.js

• Frontend:

  React.js, HTML, CSS, Tailwind CSS

• Databases:

  MongoDB, MySQL

• DevOps & Deployment

• Cloud: AWS (EC2, S3, etc.)
• Containers: Docker
• CI/CD: Familiarity with GitHub Actions, GitLab CI/CD

• Version Control:

  Git & GitHub

• API:

  RESTful API design and integration

Bonus Skills:

• Strong understanding of cloud-based deployments (especially AWS)
• Exposure to computer vision model training and optimization
• Experience with ML model inference pipelines

What We Offer:

• Real-world exposure to AI-driven projects in surveillance and analytics
• Opportunity to work with a skilled tech team in production-level environments

• Certificate, letter of recommendation, and potential full-time opportunity based on performance