AI Engineer (Computer vision)

• • 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.

• • 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.

• • 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