KIEFER

Machine Learning Engineer

• 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
• Work with teams to resolve recurring production issues
• Collaborate closely with ML and Engineering teams to make experiments reproducible and model deployment and production operations reliable

Explore MLOps Engineer at KIEFER. Review requirements and application details.