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Junior AI Engineer - Computer Vision

3 months, 1 week ago
India, United States, United Kingdom, Germany, Egypt, Pakistan
Full-time
Junior
AI Engineer
Software Development
AWS Azure CNN Computer Vision Deep Learning Docker GCP MLOps OpenCV Python PyTorch TensorFlow
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Innovation Team

Innovation Team

Innovation Team provides specialized IT consulting services designed to enhance business performance and operational efficiency across various industries, leveraging a dedicated team of professionals and strategic partnerships to deliver timely and eff...

Internet Software & Services
51-250
Founded 2009
View All Jobs 7

Description

  • Develop and train computer vision models for image and video analysis.
  • Implement solutions for object detection, image classification, segmentation, and tracking.
  • Prepare, clean, label, and augment datasets for model development.
  • Optimize models for GPU performance, inference speed, and scalability.
  • Deploy AI models into production using APIs and containerized services.
  • Integrate computer vision models with broader AI and analytics platforms.
  • Collaborate with software engineers, data scientists, and product teams.
  • Maintain documentation and support code quality and reproducibility.

Requirements

  • Minimum 5 years of hands-on experience in AI, machine learning, or deep learning with a focus on computer vision.
  • Master’s degree in computer science, software engineering, artificial intelligence, engineering, or a related field.
  • Strong knowledge of computer vision concepts and algorithms.
  • Practical experience with CNN-based models and modern computer vision architectures.
  • Proficiency in Python and common ML/CV libraries such as PyTorch or TensorFlow and OpenCV.
  • Experience with object detection and segmentation frameworks such as YOLO or Detectron2.
  • Understanding of model evaluation, metrics, and performance optimization.
  • Experience deploying models in cloud or on-premises environments.
  • Familiarity with Docker and basic MLOps practices.
  • Excellent written and spoken English communication skills.
  • Experience with video analytics or real-time inference is preferred.
  • Exposure to Vision Transformers or multimodal AI is preferred.
  • Experience with GPU-based training and inference is preferred.
  • Knowledge of cloud platforms such as OCI, AWS, Azure, or GCP is preferred.
  • Background in healthcare, smart cities, or industrial AI is preferred.

Benefits

  • Work on practical, production-grade computer vision solutions.
  • Access to GPU infrastructure and modern AI tooling.
  • Collaborative, engineering-focused work environment.
  • Opportunities for growth and advanced AI exposure.
  • Competitive compensation package.

Interested in this position?

Apply directly on the company website

Apply Now

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