Ai Ml Data Engineer

KLA

Python, data structures, algorithms
Numpy, pandas, scikit-learn
Pytorch or tensorflow/keras
You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines

Job Summary

  • You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines.
  • Key Responsibilities include developing and optimizing RAG pipelines, working on LLM-based applications, contributing to machine learning and deep learning models, and implementing robust model evaluation frameworks.
  • KLA offers a competitive, family friendly total rewards package designed to reflect their commitment to an inclusive environment and meet diverse employee needs.

Matching Summary

You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines.

Skills & Requirements

Must-have

  • Python, data structures, algorithms
  • NumPy, Pandas, Scikit-learn
  • PyTorch or TensorFlow/Keras
  • CNNs, RNNs, LSTMs, Transformers
  • Hugging Face Transformers
  • Vector databases (Milvus, FAISS, Pinecone, ElasticSearch)
  • SQL fundamentals, data wrangling

Nice-to-have

  • Personal ML/LLM project experience
  • LangChain/LlamaIndex/Agno frameworks
  • Cloud platforms (Azure/AWS/GCP)
  • MLOps basics (CI/CD, MLflow, W&B)
  • Knowledge graphs or multi-agent workflows
  • Curiosity and willingness to experiment
  • Clear communication of ML/LLM trade-offs

Key Requirements

  • Doctorate (Academic) Degree and 0 years related work experience
  • Master's Level Degree and 3 years related work experience
  • Bachelor's Level Degree and 5 years related work experience

Work Rights

Not specified

Tailored Resume

Cover Letter