Associate Director - LLM Engineering

Role : Associate Director LLM Engineering

Experience : 10+ Years

Role Type : Individual Contributor (Hands-on Technical Role)

Domain : BFSI / Mortgage preferred

About the Role :

We are looking for a highly experienced LLM/NLP Engineer to join our AI/ML team at the Associate Director level. This is a hands-on Individual Contributor role focused on developing, fine-tuning, and improving Large Language Models (LLMs) for domain-specific business applications.

Key Responsibilities :

- Design, develop, and fine-tune Large Language Models (LLMs) for enterprise and domain-specific use cases.

- Perform LLM fine-tuning, supervised fine-tuning (SFT), and instruction tuning using relevant techniques.

- Work with open-source LLMs such as Llama, Mistral, Qwen, Gemma, or similar models.

- Develop NLP and Deep Learning solutions using Python, PyTorch/TensorFlow, and Hugging Face Transformers.

- Prepare, clean, and preprocess large datasets for model training and fine-tuning.

- Experiment with different models, architectures, datasets, and fine-tuning approaches to improve performance.

- Evaluate model quality and analyze results using appropriate metrics and methodologies.

- Explore techniques such as LoRA, QLoRA, PEFT, SFT, and RLHF where applicable.

- Stay current with developments in LLMs, NLP, Generative AI, and open-source AI models.

Must-Have Skills :

- 10+ years of experience in AI/ML, Machine Learning, NLP, Data Science, or related areas.

- Hands-on experience in LLM Fine-tuning Mandatory.

- Strong experience with Large Language Models (LLMs) and Generative AI.

- Strong understanding of NLP and Deep Learning.

- Strong programming skills in Python.

- Hands-on experience with Hugging Face Transformers.

- Experience with PyTorch and/or TensorFlow.

- Experience working with Transformer-based models.

- Experience with model training, evaluation, experimentation, and optimization.

- Strong analytical and problem-solving skills.

- Experience in BFSI, Banking, Lending, Mortgage, or Financial Services. -Preferred