Senior Software Engineer

2 weeks ago

Delhi NCR, India CIEL HR Full time
Job Summary:

The Senior Vision Developer will play a pivotal role in designing, developing, and implementing cutting-edge computer vision algorithms and systems for logistics and supply chain applications. This position requires deep expertise in vision technology and a solid understanding of how these solutions can be applied to real-world challenges.

Key Responsibilities:

  • Lead the design and development of computer vision algorithms and models for logistics and supply chain applications.
  • Collaborate closely with cross-functional teams, including software engineers, data scientists, and product managers, to integrate vision solutions into our products.
  • Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.


  • Develop and optimize image processing pipelines for large-scale data sets.
  • Implement machine learning techniques to improve accuracy and efficiency in object detection, classification, and tracking.
  • Evaluate and select appropriate tools and frameworks for computer vision tasks.
  • Stay updated with the latest advancements in vision technology and incorporate best practices into the development process.
  • Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
  • Conduct performance testing and debugging to ensure the reliability and scalability of vision systems.
  • Document code, processes, and research findings for knowledge sharing and future reference.
  • Ensure the privacy and security of visual data.

Requirements:

  • 7+ years of experience in software development, with at least 4 years focused on computer vision technology.
  • Strong programming skills in Python, C++, or similar languages.
  • Experience with computer vision libraries such as OpenCV, TensorFlow, PyTorch, or similar.
  • Experience with image processing, object detection, recognition, and tracking algorithms.
  • Knowledge of cloud-based services and their application in vision processing (e.g., AWS, Azure).
  • Proficiency in machine learning techniques and frameworks.
  • Experience with real-time processing and optimization of vision systems.
  • Strong problem-solving skills and the ability to work independently.
  • Excellent communication and collaboration skills.
  • Experience with ANPR/ADAS/DMS camera and/or IoT-based platforms is a plus.

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