Senior MLOps Engineer

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)