Principal Machine Learning Engineer
Core
Design and develop platforms and solutions for generative AI, including AI agents, RAG, knowledge bases, data mining, anomaly detection, and LLM fine-tuning.
Role type
Principal Machine Learning Engineer (Generative AI & Distributed Systems)
Builds
Intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
Domain
Networking industry + Generative AI / Large Language Models
Deliverable
production ML models
Required skills
Python, RESTful API design, Docker, Kubernetes, CI/CD, Cloud platforms (AWS/Azure/GCP), Distributed systems architecture, Team leadership
Preferred skills
Machine learning technologies (PyTorch, SageMaker, Triton, TensorRT), NoSQL databases, Big data optimization
Technologies
PyTorch, FastAPI, AWS, Azure, Kubernetes, Docker, CI/CD, RAG, LLM, NoSQL
Responsibilities
Lead design and development of generative AI platforms; Build multi-agent systems; Develop innovations for flagship products; Advance network intelligence solutions.
Seniority
Principal, hands-on IC with leadership
