ML Ops Engineer: GPU & Kubernetes Specialist

Raft; Tampa (FL); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Highly competitive salary

Fully covered healthcare

401(k) and company match

PTO + 11 paid holidays

Job summary

A leading tech firm is seeking an ML Ops Engineer to design, build, and maintain machine learning infrastructure and pipelines. The ideal candidate will have over 3 years of hands-on experience and expertise in managing workloads across GPU-enabled Kubernetes clusters. Responsibilities include managing resources between training and inference operations, ensuring efficient orchestration. This full-time role is onsite in Tampa, Florida and offers a competitive salary and excellent benefits.

Qualifications

• 3+ years of relevant hands-on experience.
• Experience building and maintaining machine learning pipelines.
• Strong Kubernetes experience including managing clusters.

Responsibilities

• Design, build, and maintain ML infrastructure and pipelines.
• Manage distributed workloads across GPU-enabled Kubernetes clusters.
• Ensure efficient resource orchestration between training and inference.

Skills

Machine learning pipelines

Kubernetes

PyTorch

Airflow

Analytical thinking

Problem-solving skills

Tools

Docker

MinIO

Job description

A leading tech firm is seeking an ML Ops Engineer to design, build, and maintain machine learning infrastructure and pipelines. The ideal candidate will have over 3 years of hands-on experience and expertise in managing workloads across GPU-enabled Kubernetes clusters. Responsibilities include managing resources between training and inference operations, ensuring efficient orchestration. This full-time role is onsite in Tampa, Florida and offers a competitive salary and excellent benefits.