AI Engineer (Computer vision)

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.