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Junior AI Engineer - Computer Vision

1 month, 1 week ago
India, United States, United Kingdom, Egypt, Germany, Pakistan
Full-time
Junior
AI Engineer
Software Development
AWS Azure CNN Computer Vision Deep Learning Docker GCP MLOps OpenCV Python PyTorch TensorFlow
Apply Now
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 11

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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