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🔍 Healthcare
- Master's degree in Computer Science, Engineering, or a related field.
- Strong software engineering skills with proficiency in Python or other relevant languages.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Knowledge of data structures, algorithms, and software design patterns.
- Excellent problem-solving and debugging skills.
- Ability to work independently and collaboratively in a fast-paced environment.
- Collaborate with AI Researchers to implement and train Large Acoustic Models (LAMs) using large-scale datasets.
- Develop and maintain data pipelines for efficient data ingestion, processing, and augmentation.
- Optimize model training processes to improve performance and scalability while reducing computational costs.
- Implement and evaluate different model architectures and hyperparameter settings.
- Deploy trained models into production environments and monitor their performance.
- Contribute to the development of AI infrastructure and tools.
- Work closely with the software engineering team to integrate AI models into the platform.
AWSPythonGCPMachine LearningPyTorchAlgorithmsAzureData StructuresTensorflow
Posted about 2 months ago
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