AI Engineer (Computer vision)

C3iHub, IIT Kanpur; Kanpur; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

C3iHub, IIT Kanpur invites an AI Engineer with 2+ years of experience to join our advanced computer vision research team in Kanpur. You will develop, train, evaluate, and deploy AI/ML and computer vision solutions focusing on image and video applications, while collaborating with engineers and researchers on end-to-end projects.

The role emphasizes applying state-of-the-art methods, reading research papers, and delivering PoCs with attention to accuracy, latency, and scalability across GPU, CPU,

Qualifications

• Proficiency in Python and CV/ML fundamentals.
• Strong knowledge of computer vision, ML and DL concepts.
• Hands-on experience with CV frameworks such as PyTorch/TensorFlow/OpenCV.

Responsibilities

• Design, develop, train, evaluate, and deploy AI/ML and Computer Vision models.
• Develop end-to-end vision pipelines including data prep, model development, training, and deployment.
• Work on object detection, classification, segmentation, tracking, OCR, and video analytics tasks.
• Research and evaluate new CV models, architectures, and techniques.
• Read and implement ideas from research papers and publications.
• Develop PoCs and prototypes to validate new approaches.
• Optimize models for accuracy, latency, scalability, and resource use.
• Collaborate with engineering and domain teams to integrate AI into products.
• Contribute to technical reports, publications, or patents as applicable.

Skills

Python

Computer Vision

Machine Learning

Deep Learning

PyTorch

TensorFlow

OpenCV

CUDA

Git

Linux

Docker

Education

Bachelor's or Master's in CS/AI/DS/related

Tools

Docker

Git

Linux

REST APIs

Job description

About the Role

We are looking for an AI Engineer with 2+ years of experience, with strong expertise in Computer Vision and Deep Learning. The role involves developing, experimenting with, and deploying AI solutions, with a primary focus on image and video-based applications and applied research.

Experience: 2+ Years

Employment Type: Full-time

Location: Kanpur

Key Responsibilities

• Design, develop, train, evaluate, and deploy AI/ML and Computer Vision models.
• Develop end-to-end vision pipelines covering data preparation, model development, training, evaluation, optimization, and deployment.
• Work on problems such as object detection, image classification, segmentation, object tracking, OCR, image/video analytics, and anomaly detection.
• Research and evaluate new Computer Vision models, architectures, algorithms, and techniques.
• Read and implement ideas from research papers and technical publications.
• Develop PoCs and prototypes to validate new approaches.
• Optimize models for accuracy, latency, scalability, and resource efficiency.
• Work with image/video datasets, including data preprocessing, augmentation, annotation, and dataset management.
• Deploy AI solutions across GPU, CPU, cloud, and edge environments where required.
• Collaborate with engineering and domain teams to integrate AI solutions into products and platforms.
• Contribute to technical reports, research publications, patents, and R&D initiatives, where applicable.

Required Skills

• Strong proficiency in Python and good software engineering fundamentals.
• Strong understanding of Computer Vision, Machine Learning, and Deep Learning.
• Hands‑on experience with PyTorch, TensorFlow, OpenCV, or equivalent frameworks.
• Practical experience with CNNs, Vision Transformers, YOLO, or similar vision architectures.
• Strong hands‑on experience in one or more areas including object detection, classification, segmentation, tracking, OCR, or video analytics.
• Experience with image/video processing and computer vision pipelines.
• Understanding of model training, evaluation, optimization, and performance benchmarking.
• Familiarity with GPU computing, CUDA, ONNX, TensorRT, or edge AI is desirable.
• Familiarity with Git, Linux, Docker, REST APIs, and model deployment is preferred.
• Ability to read, understand, and implement research papers.
• Strong analytical, problem‑solving, and research skills.

Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Electronics, or a related field.
• 2+ years of relevant professional experience in AI/ML, with significant hands‑on experience in Computer Vision.
• Demonstrated experience developing at least one end‑to‑end Computer Vision solution.
• Experience working with real‑world image/video datasets and production AI systems is preferred.
• Research publications, patents, open‑source contributions, or significant Computer Vision projects are a plus.