
Computer Vision and AI Intern
2 weeks ago
Apply before
Job title: Computer Vision and AI Intern
Location: Pune
Type of Internship: Full time In-Office
Duration: 6 Months
Position Overview:
We are only looking for candidates who have demonstrable skills and knowledge in Image
Processing and Computer Vision, with strong software development skills OpenCV with
Python. During this internship, you’ll work closely with Seniors and other members of the
team on various development and optimization tasks relating to object detection, tracking
and recognition, etc.
You’ll have the opportunity to actively participate in designing and creating stable and
scalable high-quality applications. In addition, you’ll be expected to actively work on
development activities daily, be it testing, fixing bugs, or other coding-related issues.
Key Responsibilities:
● Work on the computer vision-based algorithm developments
● Work on AI-driven algorithm developments for industrial use cases
● Documenting and testing new Algorithm applications Researching, investigating and
fixing a wide range of technical issues.
● Collaborating with senior leaders, approaching problems and creating solutions for
Industrial Applications.
● Proactively learning about new technologies
Qualifications:
● Knowledge and relevant programming experience with Python, PyTorch, Tensorflow,
etc and other ML and DL libraries, mainly in Computer Vision tasks.
● Knowledge of applying state-of-the-art deep neural networks-based models to
various Image and Video Processing and Computer Vision applications
● Understanding of overall system Architecture, Camera & other hardware selection
basics is good to have
● Excellent interpersonal, communication, and document preparation skills.
● Demonstrate research capabilities through relevant publication records in leading
● Image and Video Processing and Computer Vision journals and conferences
● Self-motivated and results-oriented Ability to interact with cross-functional teams
● Strong problem-solving abilities
● Ability to work in a fast-paced environment
Fields with (*) are compulsory.
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