Machine Learning Ops Engineer

Job Summary

A company is looking for a Machine Learning Ops Engineer (LATAM).

Key Responsibilities

• Manage infrastructure and propose stacks to meet business objectives
• Troubleshoot and optimize AI infrastructure issues and model training speed
• Evaluate and implement new AI training and development platforms

Required Qualifications

• 5+ years of experience with ML Ops tools (e.g., SLURM, MLflow, Kubeflow)
• Experience managing Kubernetes clusters and distributed training workloads
• Proficiency in containerization tools (Docker, Singularity)
• Familiarity with deep learning frameworks (PyTorch, TensorFlow)
• Strong scripting skills in Python, Bash, or similar languages