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 RD 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

• • Bachelors or Masters 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.

Required Skills

RestAPIs deep learning PyTorch python cloud/GPU Machine learning LLM AI/ML Model Docker

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.