Senior MLOps Engineer – LLMs, AWS, Kubernetes
We’re looking for a Senior MLOps Engineer to join a growing AI team. This is a hands-on role where you'll help design and build the infrastructure behind scalable machine learning systems.
You’ll work on workflow automation, LLM deployment and fine tuning, and support production-grade model inference. We’re looking for someone with 2–3 years of experience in MLOps who’s comfortable working across cloud-native platforms and ML pipelines.
Experience with AWS, Kubernetes, and Docker
Solid background in MLOps and deploying large language models
Understanding of data streaming and system monitoring
Bonus if you’ve used: