Deep Learning Engineer - Computer Vision

Company Description

Biocliq AI - AI for Medical Imaging is a healthcare technology company located in Bengaluru, striving to make a significant impact on the world by revolutionizing radiology through the development of AI-based tools for radiologists, clinicians, and OEMs. Our products help optimize clinical workflow efficiency, provide accurate and quantitative reports, and aid in visual information for better diagnosis, treatment, and post-treatment surveillance.

Role Description

This is a full-time hybrid role based in Bengaluru but with the option of some remote work. As a Deep learning Engineer - Computer Vision, you will join a team of professionals responsible for development, optimization, and implementation of deep learning models in medical imaging applications specifically related to urology care. Your expertise in Computer Vision will enable you to develop machine vision-based solutions to enhance clinical workflow and improve patient outcomes. You will also. collaborate with cross-functional teams to identify business opportunities and provide customized solutions that aim to meet customer needs.

Qualifications
 Master's or Bachelor's degree in Computer Science, Computer Engineering is a must.
 2+ years of experience in developing, deploying, and optimizing deep learning models in medical imaging applications with a focus on Computer Vision.
 Demonstrated experience in designing, developing, and deploying neural networks and other machine learning models in computer vision for medical imaging applications.
 Proficient in Python, framework such as PyTorch or TensorFlow and knowledge of Computer Vision techniques such as image processing, object detection, segmentation, and recognition.
 Experience in Cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
 Excellent analytical and problem-solving skills, as well as a collaborative mindset and strong verbal and written communication skills.
 A strong publication record in the related fields is a plus,