Associate Director - LLM Engineering
First seen by Alion on Aug 27, 2026.
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
Skills
Machine Learning, NLP, LLM, Python, Tensorflow, Deep Learning, Data Science, Data Management, CAIO, Artificial Intelligence, Generative AI