Job Details

Experienced MLOps Engineer with GPU/Nvidia experience sought for a remote role, LATAM preferred. Focus on deploying and operating ML workloads in production. Apply with resume and salary expectations to *****.

We are looking for an experienced MLOps Engineer with strong hands-on experience in real-world Machine Learning infrastructure, especially GPU/Nvidia-based environments. This role is focused on professionals located in Latin America (LATAM) who have practical experience deploying and operating ML workloads in production environments.

• Strong experience with MLOps and ML infrastructure • Hands-on experience with CUDA / Nvidia GPUs — mandatory • Experience deploying ML models into production • Experience with Kubernetes, Docker, and ML pipelines • Familiarity with tools such as Kubeflow, MLflow, and Airflow • Understanding of scalability, monitoring, and performance optimization for AI workloads • Functional English for daily communication • Previous experience working with international teams • Strong ownership mindset and problem-solving skills Important: This is not a generic backend or DevOps position. We are specifically looking for candidates with real experience in ML infrastructure, GPU workloads, and production AI environments.

Remote Preference for candidates based in Latin America (LATAM).