Applyπ United States
π§ Internship
πΈ 30.0 USD per hour
π AI & Data Science (Computer Vision)
- Currently enrolled in or completed a Masterβs or PhD program in Computer Science, Data Science, AI, or a related field.
- Strong programming proficiency in Python and familiarity with key ML/AI libraries (TensorFlow, PyTorch, NumPy, Pandas, etc.) and Hugging Face Transformers
- Expertise in medical image processing techniques, including segmentation, classification, and radiomics, with a focus on developing AI models for clinical applications that ensure robustness, scalability, and generalizability across diverse imaging datasets.
- Familiarity with large language models (LLMs), multimodal LLMs, and experience integrating them into AI workflows.
- Strong understanding of AI agent frameworks (e.g., LangChain, AutoGen, Semantic Kernel) and autonomous AI-driven decision-making.
- Hands-on experience with federated learning frameworks (e.g., NVIDIA FLARE, Flower, FedML), with a strong understanding of privacy preservation, client heterogeneity, communication efficiency, and secure aggregation in distributed AI systems.
- Experience working with DICOM, CT scan data, and other complex medical imaging datasets.
- Knowledge of SQL, cloud services (AWS, GCP, Azure), and version control (Git).
Contribute on high-impact healthcare projects in cancer research and clinical care.
AWSPythonSQLCloud ComputingGCPGitImage ProcessingMachine LearningNumpyPyTorchAzureData sciencePandasTensorflow
Posted 11 days ago
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