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.