MLOps Engineer - Shape Production ML in AI-native Stack

Kiefer; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Engineering-first culture

High autonomy

Job summary

KIEFER is seeking an MLOps Engineer to build the infrastructure and tools that support ML at Kiefer Tech, including Sophea AI language model and related platforms. You will collaborate with ML and Engineering teams to ensure reproducible experiments and reliable production operations.

Join a team delivering AI-driven energy and enterprise solutions across Europe, with a strong focus on scalable workflows, GPU optimization, and robust monitoring to minimize cost and maximize performance.

Qualifications

• Hands-on experience building or operating infrastructure for production ML systems.
• Strong Python and Linux skills; able to write maintainable production code.
• Practical understanding of the ML lifecycle from experiments and evaluation to deployment.
• Experience with containers, workload orchestration, CI/CD, and infrastructure automation.
• Experience working with GPU workloads and measuring performance, utilization, and cost.
• Experience monitoring and troubleshooting production systems.

Responsibilities

• Build workflows for running and managing model training and fine-tuning jobs.
• Make experiments traceable through dataset, checkpoint, and model artifact versioning.
• Automate model evaluation and release checks so teams can compare changes before deployment.
• Build deployment and serving workflows, including safe rollout and rollback of model versions.
• Improve GPU workload scheduling and utilization, with attention to performance and compute cost.
• Add monitoring and troubleshooting tools for production ML systems, and work with teams to resolve recurring issues.

Skills

Production ML infrastructure

Python

Linux

CI/CD

Containers

GPU workloads

Monitoring

Troubleshooting

Tools

vLLM

NVIDIA Triton

Kubeflow

Weights & Biases

Job description

KIEFER is seeking an MLOps Engineer to build the infrastructure and tools that support ML at Kiefer Tech, including Sophea AI language model and related platforms. You will collaborate with ML and Engineering teams to ensure reproducible experiments and reliable production operations.

Join a team delivering AI-driven energy and enterprise solutions across Europe, with a strong focus on scalable workflows, GPU optimization, and robust monitoring to minimize cost and maximize performance.