Overview As a Machine Learning Engineer at M42, you will work on building AI systems powered by foundation models (Language - LLM, Imaging, Genomics, EHR). Your expertise will drive the seamless integration and enhancement of our foundation models with other components to improve overall performance and capabilities of the AI systems.
Responsibilities - Collaboration: Work with product managers and business owners to understand requirements.
- Data to Model: Create data pipelines and preprocess data from diverse sources (text, imaging, genomics, HER, etc.) to make it ready for model training. Monitor data quality through the process. Build scalable and efficient ML pipelines powered by GPUs. Implement a comprehensive model evaluation mechanism to measure and enhance model performance for superior metrics.
- Model Enhancement and System Augmentation: Augment capabilities of the foundation model using agent-ba...