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
