Senior Software Engineer - Computer Vision (7-10 yrs)

Job Summary :

The Senior Vision Developer will play a key role in designing, developing, and implementing computer vision algorithms and systems. This position requires deep expertise in vision technology and a solid understanding of how these solutions can be applied to real-world logistics and supply chain challenges. The ideal candidate has extensive experience in computer vision, machine learning, and image processing, with a proven track record of delivering successful projects in a fast-paced environment.

Key Responsibilities :

- Lead the design and development of computer vision algorithms and models for logistics and supply chain applications.

- Work 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.

- Experiment with different network architectures, loss functions, and optimization techniques to improve model performance and generalization.

- 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.

- Ensuring 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!