AIML Engineer-Micron
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
GenAI & LLM Integration: Architect and build applications using Large Language Models (LLMs) including Retrieval-Augmented Generation (RAG) pipelines and prompt engineering.
End-to-End Pipelines: Build scalable data and ML pipelines in Python using frameworks like Scikit-learn PyTorch or TensorFlow.
Fine-Tuning: Execute fine-tuning strategies (PEFT LoRA) to adapt foundation models to domain-specific datasets.
Optimization: Evaluate model performance using rigorous statistical metrics and optimize for latency cost and accuracy.
Mentorship: Lead technical discussions and mentor junior engineers on best practices for MLOps and clean modular code.
End-to-End Pipelines: Build scalable data and ML pipelines in Python using frameworks like Scikit-learn PyTorch or TensorFlow.
Fine-Tuning: Execute fine-tuning strategies (PEFT LoRA) to adapt foundation models to domain-specific datasets.
Optimization: Evaluate model performance using rigorous statistical metrics and optimize for latency cost and accuracy.
Mentorship: Lead technical discussions and mentor junior engineers on best practices for MLOps and clean modular code.