AI/ML Engineer

Job Description: AI/ML Engineer

Key Responsibilities

· 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.

nanda.k@telradsol.com