Research Engineer
Tasks
- Apply transformer and large language model architectures
- Architect ML features and modules
- Build ML and DL solutions
- Build high concurrency ML services
- Deploy production ready ML models
- Develop research to product implementations
- Evolve ML and DL models
- Implement MLOps pipelines
- Optimize model performance for resource constrained environments
- Process large scale datasets in distributed systems
Perks/Benefits
- N/A
Skills/Tech-stack
Data Processing | Deep learning | Distributed Computing | LLM | Language Models | Large Language Models | Linear Algebra | MLOps | Machine Learning | Model Pruning | Model Quantization | Neural Networks | Optimization | Predictive Modeling | Python | Reinforcement Learning | Statistical Analysis | Transformers
Education
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