Design, develop, and deploy deep learning and machine learning models, particularly convolutional neural networks (CNNs) for medical image analysis.
Build scalable and efficient training and inference pipelines using frameworks like TensorFlow and PyTorch.
Manage and deploy DL/ML solutions using local virtual machines (VMs); experience with cloud platforms like AWS and Azure is a plus.
Containerize DL/ML workflows using Docker and implement CI/CD pipelines for model delivery.
Optimize models for accuracy and speed; conduct A/B testing and validation with real-world radiology data.
Collaborate with radiologists and software teams to integrate AI models into teleradiology platforms.
Develop and maintain API integrations, including FastAPI-based services and interoperability with legacy systems.
Monitor and maintain deployed models to ensure consistent performance in clinical environments.
Requirements
Must-Have Skills
Proficient in Deep Learning and Machine Learning techniques.
Strong experience with TensorFlow and PyTorch.
Solid background in image processing and computer vision, especially with CNN architectures.
Proficiency with Docker and experience with CI/CD pipelines.
Excellent programming skills in Python and experience with relevant ML libraries.
Understanding of data pipelines and handling large-scale medical imaging datasets.
Nice to Have
Experience deploying ML models on cloud platforms such as AWS and Azure.
Experience with Kubernetes or orchestration frameworks.
Familiarity with MLOps tools and workflows.
Experience with distributed training or federated learning.
Contributions to healthcare AI research or open-source projects.
Education & Experience
Bachelor's or Master's degree in Computer Science, Biomedical Engineering, Data Science, or related field.
1+ years of experience building and deploying machine learning solutions in production, preferably in a healthcare or radiology setting.
Why Join Us?
Opportunity to work on transformative AI applications in healthcare and radiology.
Collaborative and mission-driven team environment.
Access to advanced medical imaging datasets.
Interested can apply to
nanda.k@telradsol.com
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