Staff Engineer - ML Infra / MLOps

📋 Description

• Architect the ML Infra Foundation: end-to-end ML training, serving, monitoring.
• Build the Paved Road for Production: move ideas to production with minimal friction.
• Drive tech excellence: CI/CD for ML, IaC, and model versioning.
• Own high-impact design decisions: core platform components and tradeoffs.
• Optimize compute performance and cost: GPU utilization and batching.
• Ensure production scalability and reliability: scalable ML serving with monitoring.

🎯 Requirements

• 8+ years in ML Infrastructure, MLOps, or large-scale data platforms.
• Proven MLOps platform design for data ingestion, training, real-time inference.
• Cloud-native infra (AWS), Kubernetes (EKS), Docker, IaC (Terraform/Pulumi).
• Hands-on with PyTorch, TensorFlow, Kubeflow, or SageMaker.
• Expertise in Feature Stores and high-throughput pipelines (Spark, Flink, Kafka).
• CI/CD for ML, including model versioning and experiment tracking.
• GPU optimization and cloud cost control for training and inference.
• Strong on-call, monitoring, and root-cause analysis skills.

🎁 Benefits

• Customer First: prioritize customer satisfaction.
• High Quality: premium materials and rigorous production standards.
• Essential Design: timeless, functional essentials.
• Always a Better Deal: transparency and value for customers and partners.
• Social & Environmental Responsibility: sustainable materials and fair wages.