Computer Vision Internship in Bangalore at Inferigence Quotient Private Limited

About the Internship

We are looking for an AI Engineer with a deep understanding of neural networks and other AI techniques, as well as traditional image processing techniques, capable of reasoning from first principles. The role demands the ability to analyze the data and problem statement, select appropriate features, model architectures, loss functions, and evaluation metrics, and design or modify neural networks accordingly.
The ideal candidate is not a “model-user”, but a model designer and problem solver, comfortable working with limited, noisy, or domain-specific data, and combining classical computer vision with modern deep learning approaches.

Selected intern's day-to-day responsibilites include:

A. Problem Analysis & Model Selection:
1. Analyze problem statements, operational constraints, and available data to determine:
2. Suitable feature representations
3. Supervised vs unsupervised vs self-supervised vs traditional image processing approaches
4. Appropriate network architectures and learning paradigms, algorithms
5. Select and justify loss functions, regularization strategies, and evaluation metrics based on task objectives.

B. Design and Development:
1. Design neural network architectures from scratch for:
2. Classification, detection, similarity matching, retrieval, etc.
3. Modify and adapt existing architectures (CNNs, Siamese networks, autoencoders, transformers, etc.) for domain-specific requirements.
4. Optimize model size, latency, and accuracy for deployment constraints.

C. Classical Computer Vision and Hybrid Approaches:
1. Apply and integrate traditional image processing and vision techniques such as:
2. Bag of Visual Words (BoVW)
3. Feature descriptors (SIFT, SURF, ORB, HOG, etc.)
4. Image similarity, matching, and retrieval
5. Develop hybrid pipelines combining classical vision and deep learning where appropriate.

D. Training, Evaluation and Optimization:
1. Design training pipelines, data augmentation strategies, and validation methodologies.
2. Diagnose training issues such as overfitting, underfitting, class imbalance, and convergence problems.
3. Perform error analysis and iterate on feature sets, architectures, and losses.

E. Collaboration and Documentation:
1. Work closely with domain experts, systems engineers, and software teams.
2. Document model choices, assumptions, and design trade-offs clearly.
3. Support integration of models into larger software or embedded systems.


What We Bring
Work on operational defense and strategic UAV systems delivering real impact.
Contribute to the next generation of autonomous aerial navigation technologies for India’s defense ecosystem.
A high-autonomy, innovation-driven environment with hands-on access to flight systems.
Opportunity to collaborate with leading research organizations, DRDO labs, and global technology partners.

Number of Openings

2 openings

Perks of this Internship

Free snacks Certificate Recommendation letter

Other Requirements

1. are available for full time (in-office) internship

2. have relevant skills and interests

3. can start the internship between 16th Dec'25 and 20th Jan'26

4. are available for duration of 4 months

5. have already graduated or are currently in any year of study