Machine Learning Engineer - AI Coding Agents & LLM Infrastructure
Tasks
- Apply caching techniques
- Build multi agent coding systems
- Build scalable model serving systems
- Collaborate cross functionally to ship AI features
- Contribute to distributed training
- Design GPU TPU efficient architectures
- Develop training to inference pipelines
- Fine tune LLMs for code generation
- Generate synthetic data
- Implement retrieval-augmented generation
- Optimize inference with quantization
- Prototype and validate ML approaches
- Research and design domain specific LLMs
- Train using reinforcement learning and human feedback
- Use knowledge distillation
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Caching | Data Pipelines | Data cleaning | Deep learning | Distributed Training | Fine Tuning | Human Feedback | Knowledge Distillation | Language Models | Language Processing | Large Language Models | LoRA | Machine Learning | Model Serving | Multi-Agent | Multi-Agent Systems | NLP | Natural Language | Natural Language Processing | Pruning | Quantization | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Synthetic data
Education
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