Qureos Mentor

Business Connect

Your RoleAs our AI/ML Engineer &ndash; Computer Vision, you will:&#9679; Build, train, and deploy computer vision models for tasks such as image segmentation, anomaly detection, and 3D scan analysis in dental imaging.&#9679; Collaborate with our full-stack team to integrate CV models into production, ensuring scalability and HIPAA-compliant security.&#9679; Design pipelines for image preprocessing, annotation, augmentation, and evaluation.&#9679; Explore and apply state-of-the-art methods (CNNs, vision transformers, UNet variants, MONAI, etc.) to dental image analysis.&#9679; Optimize model performance for accuracy, inference speed, and cost-efficiency.&#9679; Work closely with product leads and clients to translate clinical challenges into AI solutions.&#9679; Stay ahead of the curve by testing new research and technologies in vision + generative AI.What We&rsquo;re Looking For&#9679; 3&ndash;4 years of experience in computer vision, ML, or applied AI (academic + industry combined).&#9679; Strong background in Python with experience in PyTorch or TensorFlow.&#9679; Hands-on experience with OpenCV, MONAI, or similar CV libraries.&#9679; Familiarity with image segmentation, anomaly detection, or medical/dental imaging a strong plus.&#9679; Understanding of deep learning architectures (CNNs, transformers, UNets, etc.).&#9679; Experience deploying ML models in production (Docker, APIs, cloud environments).&#9679; Bonus: Knowledge of 3D imaging, medical AI, or HIPAA-compliant data pipelines.&#9679; Strong problem-solving skills and ability to thrive in a startup environment where priorities shift quickly.Job Type: Part-timePay: Rs170,000.00 - Rs210,000.00 per monthExpected hours: 40 per weekApplication Question(s):<ul><li>Can you walk me through your experience with Python and one of the major deep learning frameworks (PyTorch or TensorFlow)? Which do you prefer and why?</li><li>Have you implemented or trained models for image segmentation, anomaly detection, or object detection? If so, describe one project.</li><li>Have you deployed a machine learning model into production (via Docker, APIs, or cloud)? What challenges did you face?</li></ul><ul><li>Can you describe a time you designed a data preprocessing pipeline (annotation, augmentation, cleaning)? How did it improve results?</li><li>Give an example of a project where the scope or priorities shifted. How did you adapt?</li><li>What is your expected salary?</li><li>If selected, when can you join?</li></ul>Work Location: Remote

AI / Machine Learning Engineer [ Remote]

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AI / Machine Learning Engineer [ Remote]