About the Role

We are looking for enthusiastic and passionate AI Product Development Engineer Interns who are interested in building real-world AI-powered products using Computer Vision and Deep Learning technologies.

The ideal candidates should have hands-on interest in object detection, image processing, and deploying AI models into practical applications. You will work on developing intelligent vision-based solutions using YOLO (You Only Look Once) and other modern AI/ML frameworks.

This internship offers an opportunity to work on live projects, experiment with cutting-edge AI technologies, and transform AI models into scalable products.

Key Responsibilities

Develop and implement real-time object detection and tracking solutions using YOLO (YOLOv8, YOLOv9, YOLOv10, or newer versions).

Build and optimize Computer Vision models for real-world applications.

Work on image classification, object detection, segmentation, and image processing tasks.

Collect, clean, annotate, and prepare image/video datasets for model training.

Train, fine-tune, evaluate, and optimize deep learning models.

Integrate trained AI models into applications, APIs, and product workflows.

Work with OpenCV, PyTorch, and other AI/ML libraries.

Develop prototypes and convert them into functional AI-powered products.

Collaborate with product development and engineering teams.

Research emerging Computer Vision technologies and implement innovative solutions.

Required Skills & Qualifications

Pursuing or recently completed a degree in Computer Science, AI/ML, Data Science, Electronics, or a related field.

Strong programming knowledge in Python.

Basic understanding of Machine Learning and Deep Learning.

Familiarity with Computer Vision concepts.

Knowledge of YOLO-based object detection models.

Experience with OpenCV, NumPy,



and basic image processing.

Familiarity with PyTorch or TensorFlow.

Understanding of model training, validation, and performance evaluation.

Problem-solving mindset and willingness to learn recent technologies.

Good to Have

Hands-on experience with YOLOv8/YOLO11 or other YOLO models.

Experience with object tracking using ByteTrack or DeepSORT.

Knowledge of model deployment using FastAPI or Flask.

Familiarity with Docker, Git, and Linux.

Experience with GPU-based model training and optimization.

Knowledge of ONNX, TensorRT, or edge AI deployment.

Experience building AI-based applications or working on GitHub projects.

What You Will Gain

Practical experience building real-world AI products.

Hands-on exposure to YOLO and advanced Computer Vision technologies.

Opportunity to work on live AI product development projects.

Experience in model training, optimization, deployment, and integration.

Mentorship from experienced engineers.

Opportunity to contribute to innovative AI solutions.

Internship certificate and performance-based opportunities for full-time employment.

Who Should Apply?

Students passionate about Artificial Intelligence and Computer Vision.

Candidates who enjoy building practical AI applications rather than only theoretical projects.

Self-motivated individuals who love experimenting with new AI technologies.

Candidates with personal projects, GitHub repositories, or hands-on YOLO experience.

How to Apply

Interested candidates can share their updated resume along with:

GitHub profile or portfolio (if available).

Details of Computer Vision or AI/ML projects.

Any YOLO-based object detection projects or demos.

Join us and help build the next generation of AI-powered products using Computer Vision!

Pay: ₹13,000.00 - ₹15,000.00 per month

Work Location: Hybrid remote in Pune, Maharashtra

📌 AI Product Development Engineer Intern (Pune)
🏢 IQLEXA Technologies
📍 Pune