Machine Learning Engineer - LLMs
Tasks
- Define ML lifecycle for language models used on manufacturing document data
- Develop evaluation frameworks for model behavior and user impact
- Engineer synthetic data augmentation strategies
- Implement annotation tooling and active learning loops
- Research develop and deploy fine tuned language models for document classification
- Ship machine learning models to production and monitor endpoint health
Perks/Benefits
Skills/Tech-stack
Active Learning | DPO | Data Augmentation | Data loaders | Document Classification | Evaluation | Fine Tuning | Information Extraction | Language Models | Large Language Models | Loss Functions | Model Deployment | Model Monitoring | Pretraining | PyTorch | Python | RLHF | Synthetic data | Table Parsing
Education
Regions
Countries
States
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