Senior Machine Learning Engineer

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