AI/ML Engineer

1 day ago

Bangalore North Rural Karnataka, India Teleradiology Solutions Full time ₹ 15,00,000 - ₹ 20,00,000 per year

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.
  • Access to advanced medical imaging datasets.

Interested can apply to

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