Senior MLOps Engineer

Job Summary

A company is looking for a Senior MLOps Engineer to design and scale infrastructure for AI research and product development.

Key Responsibilities

• Identify and resolve infrastructure and software bottlenecks to enhance ML job performance
• Translate research workflows into automated and scalable systems for efficient experimentation
• Develop CI/CD workflows and observability frameworks for large-scale training clusters

Required Qualifications

• BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience
• 8+ years of experience in large-scale software or infrastructure systems, with 5+ years in ML platforms or MLOps
• Proven experience in designing and operating ML infrastructure for production workloads
• Expertise in distributed training frameworks and orchestration systems
• Strong programming skills in Python and at least one systems language (Go, C++, Rust)