About the Role
We are seeking a Graduate AI / ML Engineer (LLM Research & Fine-Tuning) with strong research exposure and hands‑on experimentation experience in Large Language Models (LLMs) . This role is ideal for candidates coming from research internships, academic projects, or thesis work , who want to apply cutting‑edge ML research to real‑world systems.
Key Responsibilities
Experiment with and fine‑tune LLMs using techniques such as LoRA, QLoRA, PEFT, instruction tuning , and related methods.
Work on dataset preparation , including cleaning, preprocessing, anonymization, and licensing considerations.
Design and run ML experiments and evaluations , tracking metrics using tools like MLflow or similar .
Assist in deploying and testing models using inference or serving frameworks (e.g., vLLM, AWS Bedrock, or equivalent ).
Contribute to RAG pipelines , embeddings, and tool‑augmented LLM w...
Ready to Apply?
Submit your application today and take the next step in your career journey with Carbonteq.
Apply Now