ML Ops Engineer: GPU & Kubernetes Specialist
Raft
14 days+
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Benefits offered by this job
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.
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