Job Title

Job DescriptionLenskart is seeking a Machine Learning Engineer specializing in Computer Vision. You will lead the design, fine-tuning, optimization, and deployment of computer vision models with a focus on OCR (Optical Character Recognition), and desktop application automation for the optometry space. The ideal candidate will transform prescription forms, patient documentation, and clinical workflows into automated AI-driven processes that enable efficient optometry eye tests .You will collaborate with product managers, optometry experts, and software engineers to bring cutting-edge computer vision and automation solutions into real-world clinical workflows, enabling seamless integration with desktop applications and patient engagement workflows.Must Haves5+ years of overall experience with 2+ years of experience with vision models.Proven experience with deep learning and computer vision frameworks (e.g., OpenCV, PyTorch, TensorFlow, OpenCV, Yolo, or similar vision libraries).Strong Python programming skills, especially in image processing (e.g., OpenCV, PIL/Pillow), data manipulation (Pandas, NumPy), and automation scripting for desktop applications (e.g., PyAutoGUI, pywinauto).Experience fine-tuning and deploying OCR models (e.g., Tesseract, EasyOCR, PaddleOCR) and document understanding models (e.g., LayoutLM, Donut) for extracting structured data from medical forms and prescriptions.Prior exposure to model evaluation using metrics such as character accuracy, word accuracy, precision/recall for OCR, and ability to benchmark performance on domain-specific datasets.Track record of deploying computer vision models in production environments, including desktop application integration, and experience with model optimization techniques for inference speed.Experience building data pipelines for vision tasks, including data augmentation, annotation workflows, and periodic model retraining with new labeled data.Ability to implement visualization and debugging tools for computer vision models (e.g., GradCAM, attention maps, bounding box visualizations) and communicate results to non-technical stakeholders.Should HavesExperience building RESTful APIs for serving computer vision models and integrating with desktop automation frameworks (e.g., Windows COM, AppleScript).Exposure to basic devops practices (CI/CD pipelines for ML, model version control).