Machine Learning Engineer
Tasks
- Build end-to-end ML pipelines
- Contribute to applied AI architecture decisions
- Define model training strategies
- Deploy and operate ML systems in production
- Design machine learning models for discovery and classification
- Evaluate and monitor ML models
- Implement entity extraction and document classification
- Improve ML systems through continuous iteration
- Integrate LLMs into products and automated workflows
- Optimize models for latency cost throughput
- Translate business challenges into ML system designs
Perks/Benefits
Skills/Tech-stack
Cost Optimization | Deep learning | Document Classification | Entity Extraction | Hugging Face | Hugging Face Transformers | Inference | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Machine Learning Pipelines | Model Evaluation | Model Monitoring | Model Training | Natural Language | Natural Language Processing | PyTorch | Python | Spacy | Throughput Optimization
Education
N/A
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