Principal Machine Learning Engineer, General AI, ML & Big Data
Core
Architecting high-performance, scalable multi-agent systems and real-time inference pipelines for Generative AI and LLM products.
Role type
Principal Machine Learning Engineer (Strategy & Architecture)
Builds
Intelligent multi-agent systems, real-time inference pipelines, and scalable microservices for flagship AI products.
Domain
Generative AI, Large Language Models (LLMs), Distributed Systems, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, RESTful API design, Docker, Kubernetes, CI/CD, distributed systems architecture, technical leadership
Preferred skills
PyTorch, SageMaker, Triton, TensorRT, NoSQL databases, big data optimization
Technologies
Triton, TensorRT, FastAPI, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Define technical vision for ML solutions, own end-to-end software development lifecycle, architect scalable microservices, build real-time inference pipelines, mentor engineers, champion engineering excellence
Seniority
Principal, hands-on IC with strategy & mentorship
