Model Fine-Tuning Specialist – 1 FTE Expertise in LoRA/QLoRA, parameter-efficient fine tuning. Owns dataset preparation, domain adaptation, and hyperparameter tuning. Ensures models generalize across for the use cases.
Responsibilities: Design, develop, and deploy AI/ML and GenAI solutions Build and fine-tune LLMs and foundation models Develop pipelines for data collection, preprocessing, and training Implement prompt engineering, RAG, and model evaluation Optimize models for performance, scalability, and accuracy Collaborate with product, data, and engineering teams Monitor models in production and improve continuously Required Skills & Experience: 3+ years of experience in AI/ML engineering Strong Python and ML frameworks (PyTorch / TensorFlow) Experience with GenAI, LLMs, NLP, or CV Hands-on with APIs, vector databases, and embeddings