Dear Aspirants,
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.
The ideal candidate will have strong expertise in NLP, Deep Learning, LLMs, Generative AI, and hands-on LLM fine-tuning , along with experience working with open-source models and frameworks such as Hugging Face and PyTorch. LLM Fine-tuning experience is mandatory for this role.
Experience: 10+ years (Individual Contributor (Hands-on Technical Role)
Location: Remote
Industry: BFSI / Mortgage preferred
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Associate Director – LLM Engineering | NLP, Generative AI & Fine-tuning
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.
- Work closely with domain experts to develop AI solutions that are accurate, relevant, and actionable.
- Explore techniques such as LoRA, QLoRA, PEFT, SFT, and RLHF where applicable.
- Identify and address model/data bias and follow responsible AI practices.
- Document experiments, methodologies, model performance, and technical approaches.
- 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 .
- Solid 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)
Important Note This is a hands-on technical Individual Contributor role . Candidates should be comfortable working directly on LLM development, model fine-tuning, experimentation, and technical problem-solving rather than primarily focusing on people management or program management.
Candidates without hands-on LLM Fine-tuning experience will not be considered.
📌 Senior Machine Learning Engineer (India)
🏢 VBeyond
📍 India