Research Engineer - Applied AI/ML
Tasks
- Apply transformer and large language model techniques
- Build machine learning and deep learning solutions
- Deploy production-ready models
- Design high concurrency machine learning services
- Develop reinforcement learning solutions
- Evolve applied ML and DL products for market use
- Implement MLOps pipelines
- Maintain technical research to production workflow
- Optimize model performance with quantization and pruning
- Own model and service modules
- Process large scale datasets in distributed systems
Perks/Benefits
- N/A
Skills/Tech-stack
Deep learning | Distributed Computing | High Performance | High-Performance Computing | Language Models | Large Language Models | Linear Algebra | MLOps | Machine Learning | Model Pruning | Optimization | Performance Computing | Python | Quantization | Reinforcement Learning | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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