Looking for someone skilled in the fundementals of LLM, able to discuss and articulate the following:
- how tokenization works
- how a large language model generates sequences
- how an LLM uses attention mechanism
- how precached tokens work
- How to manage prompts
- How to manage context windows
Experience with designing and implementing an Agentic loop is a must. Robust background in traditional Machine Learning is preferred, particularly those that can explain:
- What overfitting is
- How to build, design, and test a ML/AI system
- How to validate performance
- How a neural network works
No math background is required, but having taken Linear Algebra and worked through Gradient Descent derivation historically is preferred. Hands on experience with Python, ML frameworks (such as Keras, TF, Pytorch, Scikit-learn, etc.), and experience implementing production LLM-powered applications is preferred.
📌 AIML Engineer (Bengaluru)
🏢 Wipro
📍 Bengaluru
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