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Senior AI / Computer Vision Engineer

Ninja Tech·Salary not specified

Primary stack

PythonOpenCVTensorFlowPyTorchYOLODetectron2

Nice to have's

AIAPI

Job description

About the Position

We are looking for an experienced Computer Vision Engineer with around 5 years of hands-on experience to join our growing AI team.

The ideal candidate should have strong practical knowledge of building, training, optimizing, and deploying computer vision models for real-world use cases.

Responsibilities

  • Design and develop computer vision solutions for image and video-based applications.
  • Work on object detection, image classification, segmentation, OCR, face/object recognition, and real-time video analytics.
  • Train, fine-tune, and optimize deep learning models using modern CV frameworks.
  • Convert AI models into production-ready solutions with focus on accuracy, speed, and scalability.
  • Collaborate with backend, mobile, IoT, and product teams to integrate AI features into applications.
  • Stay updated with the latest trends, tools, and best practices in Computer Vision and Generative AI.

Requirements

  • Around 5 years of experience in AI / ML / Computer Vision.
  • Strong experience with Python, OpenCV, TensorFlow, PyTorch, or similar frameworks.
  • Hands-on experience with models like YOLO, Detectron, EfficientNet, ResNet, Vision Transformers, or similar architectures.
  • Experience with model training, dataset preparation, annotation, augmentation, validation, and performance tuning.
  • Knowledge of deployment on cloud, edge devices, or real-time systems will be a strong plus.
  • Good understanding of APIs, model serving, and production AI workflows.

We Offer

  • On-site work opportunity
  • Collaborate with a growing AI team

About the Company

To learn more about Ninjatech, please visit our website at https://ninjatech.agency/ or email us at [email protected]

© Ninja Tech. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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