As a Machine Learning Engineer specializing in Computer Vision at Lenskart, your role will involve leading the design, fine-tuning, optimization, and deployment of computer vision models with a specific focus on OCR (Optical Character Recognition) and desktop application automation for the optometry space. You will have the opportunity to transform prescription forms, patient documentation, and clinical workflows into automated AI-driven processes, enhancing the efficiency of optometry eye tests. **Key Responsibilities:**
Collaborate with product managers, optometry experts, and software engineers to develop cutting-edge computer vision and automation solutions. - Bring automation solutions into real-world clinical workflows, enabling seamless integration with desktop applications and patient engagement workflows. - Fine-tune and deploy OCR models for extracting structured data from medical forms and prescriptions. - Evaluate model performance using metrics such as character accuracy, word accuracy, precision/recall for OCR. - Deploy computer vision models in production environments, including desktop application integration. - Build data pipelines for vision tasks, including data augmentation, annotation workflows, and periodic model retraining with new labeled data. - Implement visualization and debugging tools for computer vision models and effectively communicate results to non-technical stakeholders. **Qualifications Required:**
Minimum 5 years of overall experience with at least 2 years of experience in vision models. - Proven experience with deep learning and computer vision frameworks such as OpenCV, PyTorch, TensorFlow, Yolo, etc. - Strong Python programming skills, especially in image processing, data manipulation, and automation scripting for desktop applications. - Experience with OCR models and document understanding models for structured data extraction. - Prior exposure to model evaluation and benchmarking performance on domain-specific datasets. - Track record of deploying computer vision models in production environments and optimizing models for inference speed. - Ability to build RESTful APIs for serving computer vision models and integrating with desktop automation frameworks. - Exposure to basic devops practices such as CI/CD pipelines for ML and model version control. Lenskart is seeking a talented individual like you who can contribute to the development of innovative solutions in the field of computer vision and automation for optometry. As a Machine Learning Engineer specializing in Computer Vision at Lenskart, your role will involve leading the design, fine-tuning, optimization, and deployment of computer vision models with a specific focus on OCR (Optical Character Recognition) and desktop application automation for the optometry space. You will have the opportunity to transform prescription forms, patient documentation, and clinical workflows into automated AI-driven processes, enhancing the efficiency of optometry eye tests. **Key Responsibilities:**
Collaborate with product managers, optometry experts, and software engineers to develop cutting-edge computer vision and automation solutions. - Bring automation solutions into real-world clinical workflows, enabling seamless integration with desktop applications and patient engagement workflows. - Fine-tune and deploy OCR models for extracting structured data from medical forms and prescriptions. - Evaluate model performance using metrics such as character accuracy, word accuracy, precision/recall for OCR. - Deploy computer vision models in production environments, including desktop application integration. - Build data pipelines for vision tasks, including data augmentation, annotation workflows, and periodic model retraining with new labeled data. - Implement visualization and debugging tools for computer vision models and effectively communicate results to non-technical stakeholders. **Qualifications Required:**
Minimum 5 years of overall experience with at least 2 years of experience in vision models. - Proven experience with deep learning and computer vision frameworks such as OpenCV, PyTorch, TensorFlow, Yolo, etc. - Strong Python programming skills, especially in image processing, data manipulation, and automation scripting for desktop applications. - Experience with OCR models and document understanding models for structured data extraction. - Prior exposure to model evaluation and benchmarking performance on domain-specific datasets. - Track record of deploying computer vision models in production environments and optimizing models for inference speed. - Ability to build RESTful APIs for serving computer vision models and integrating with desktop automation frameworks. - Exposure to basic devops practices such as CI/CD pipelines for ML and model version control. Lenskart is seeking a talented individual like you who can contribute to the development of innovative solutions in the field of computer vision and