Internship

Job Summary

Techasoft is a Bangalore-based software company, founded in 2016, with a growing focus on enterprise AI and computer vision work. You will join the team that builds systems like these:

• Bad biscuit detection and rejection: deep learning plus OpenCV contour detection on high-speed industrial cameras, with automatic rejection of defective units. It reached 94% defect detection accuracy.
• Mahindra vehicle pre-delivery inspection: multi-camera checks at inspection stations, matched to each vehicles variant and Bill of Materials through VIN and MES APIs, with edge AI inference, automatic pass or hold decisions and a timestamped audit record.
• AI employee monitoring and compliance: behavioural analytics on Kafka and Spark, with TensorFlow models for baselines, anomaly detection and risk scoring, and a React dashboard for human review.

Internship: AI and Computer Vision Intern

Bangalore | Internship | 3 to 6 months | Open to final-year students and fresh graduates

You will work alongside our AI engineers on real client projects, starting with data and small models and moving toward a full component of an inspection or analytics system.

What you will learn

• How a vision system moves from camera image to a pass or reject decision.
• How to label data, train a defect detection model and measure its accuracy.
• How anomaly detection and risk scoring work on activity data.
• How teams document, test and hand over AI work to a client.

What you will do

• Collect, clean and label image datasets, and apply augmentation.
• Train and test simple classification and detection models with TensorFlow or PyTorch.
• Write OpenCV scripts for preprocessing and contour detection.
• Help build a small dashboard or report that shows model results.
• Record experiments, accuracy numbers and findings in a shared log.
• Present one mini project to the team at the end of the internship.

Who can apply

• Studying or completed Diploma, B.Tech, BCA, MCA, M.Tech or a related degree.
• Good Python basics and comfort with NumPy and pandas.
• Basic understanding of machine learning; OpenCV or deep learning coursework is a plus.
• A GitHub profile, college project or online course that shows what you have built.
• Curiosity and willingness to learn on real production problems.

Next step

• Strong performers will be considered for a full-time AI and Computer Vision Engineer role based on performance and available openings.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.