Back
Known SaaS employer, Bangalore metro, and hot AI/LLM role increase candidate competition.
Highly specialized LLM fine-tuning and ML systems experience limits cross-industry transferability.
Explicit 10+ years, 4+ years ML/NLP, and mandatory PyTorch/GPU training make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own end-to-end model fine-tuning pipeline including data preprocessing, training, evaluation, and model registry.
Implement and optimize fine-tuning techniques (QLoRA, LoRA, PEFT, full fine-tune) and maintain evaluation with benchmarks and regression testing.
Drive training iteration loop: analyze results, improve data/configuration, implement experiment tracking, and contribute to model serving and inference optimization.
10+ years software engineering experience with at least 4 years in ML/NLP systems.
Hands-on experience fine-tuning large language models using parameter-efficient methods.
Proficiency with Python, PyTorch, distributed GPU training in cloud environments.
BS or MS in Computer Science, Machine Learning, or equivalent experience.
Experienced senior engineer with strong expertise in transformer architectures, tokenization, and training optimization.
Skilled in building production ML training pipelines with experiment tracking and hyperparameter optimization.
Ability to mentor engineers and collaborate on data strategy including synthetic data generation.