Software Engineer, ML (Training and Inference)
Tasks
- Build ML drug design research environment
- Design automated workflows for model retraining
- Develop tools and libraries for large scale ML experiments
- Implement version control for data code and model artifacts
- Improve model performance scalability and robustness for production
- Optimize distributed training jobs
Perks/Benefits
Skills/Tech-stack
Accelerators | Data Structures | Data structures algorithms | Data version control | Distributed Computing | JAX | Machine Learning | Model versioning | PyTorch | Python | Software Architecture | TensorFlow | Version control
Education
N/A
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