AI / ML Principal Systems Engineer

Role Overview

We are looking for a Lead AI/ML Engineer with deep expertise in model training, fine-tuning, RAG architectures, and MLOps deployment pipelines.

Responsibilities

• Design and deploy high-throughput inference APIs for LLM applications and neural networks.
• Fine-tune foundation models using PyTorch, Hugging Face transformers, and distributed GPU clusters.
• Build automated MLOps data pipelines for model monitoring, drift detection, and automated retraining.
• Partner with product managers to deliver enterprise generative AI tools.

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, or AI engineering field.
• 5+ years of experience building and deploying machine learning models in production environments.
• Deep hands-on experience with Python, PyTorch, LangChain, LlamaIndex, and Vector DBs (Pinecone, Qdrant).