Senior MLOps Engineer: GPU AI Infra & Production

Blue Signal Search; Santa Clara (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Advanced GPU infra exposure

Collaborative engineering culture

Open source AI frameworks access

Competitive compensation

Career growth in AI infra

Job summary

Blue Signal Search is seeking an experienced MLOps Engineer to design, automate, and scale production AI infrastructure in Santa Clara, California. You will join a team building distributed GPU computing backbones for large-scale machine learning workloads and enterprise AI applications.

You will implement ML pipelines with Kubeflow and Airflow, orchestrate on Kubernetes and SLURM, and develop Python automation to improve reliability, performance, and operational efficiency across the platform.

Qualifications

• Five+ years in Infrastructure, DevOps, Platform Engineering, or ML Ops.
• Two+ years supporting production GPU/AI infrastructure.
• Production experience orchestrating distributed GPU workloads with Kubernetes, SLURM, Ray, or similar.
• Production ML pipelines with Kubeflow or Airflow.
• Deploying open source foundation models like Llama, Qwen, DeepSeek or similar.
• Strong Python programming and automation.
• Excellent cross-functional communication.
• Experience in AI-focused organizations or GPU cloud providers.

Responsibilities

• Design, maintain, and improve production infrastructure for distributed GPU ML workloads.
• Build and optimize automated ML workflows with Kubeflow, Airflow, or similar.
• Deploy and maintain open source LLMs in production ensuring performance and scalability.
• Orchestrate AI workloads across Kubernetes, SLURM, Ray, and similar platforms.
• Develop Python automation to streamline infra management and deployment processes.
• Monitor GPU resource utilization and improve scheduling efficiency.
• Collaborate with software engineers, AI researchers, and infra teams to productionize models.
• Create operational docs, automation tools, and deployment standards.
• Provide guidance on AI infra capabilities to internal and customer teams.

Skills

Python

MLOps

Kubernetes

Kubeflow

Airflow

SLURM

Ray

Automation

GPU infra

Tools

Kubeflow

Airflow

Kubernetes

Ray

SLURM

Job description

Blue Signal Search is seeking an experienced MLOps Engineer to design, automate, and scale production AI infrastructure in Santa Clara, California. You will join a team building distributed GPU computing backbones for large-scale machine learning workloads and enterprise AI applications.

You will implement ML pipelines with Kubeflow and Airflow, orchestrate on Kubernetes and SLURM, and develop Python automation to improve reliability, performance, and operational efficiency across the platform.