ML Engineer

We're looking for a talented ML Engineer with a strong background in Natural Language Processing, Large Language Models (LLMs), and fine-tuning on client-specific data.

This is an opportunity to work on cutting-edge AI solutions that combine real-world client needs with custom-tuned large language models.

Requirements: 

Experience with LLM fine-tuning and prompt engineering

Hands-on skills in PyTorch and/or TensorFlow

Experience working with LangChain and NLP model chaining/composition

Ability to preprocess and normalize raw text data effectively

Familiarity with deploying models in real-world applications

Solid understanding of vector stores, embeddings, and inference optimizations

Responsibility: 

Fine-tune and adapt LLMs (GPT, LLaMA, etc.) on domain-specific datasets
Prepare, clean, normalize and structure client-provided text data for training

Build scalable, production-ready NLP pipelines using PyTorch and/or TensorFlow

Work with frameworks like LangChain, Transformers, Hugging Face, etc.
Select and integrate appropriate tools and services for model training and deployment

Collaborate with cross-functional teams to deliver intelligent AI-driven features