MLOps Engineer GPU Nvidia Remote

🚀 International Opportunity | MLOps Engineer (GPU / Nvidia) — Remote | LATAM PreferredWe 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.🔧 Technical Requirements• 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🌍 Additional Requirements• Functional English for daily communication• Previous experience working with international teams• Strong ownership mindset and problem-solving skills💡 ImportantThis 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.⭐ Preference for candidates based in Latin America (LATAM).📩 We are actively interviewing.Feel free to apply or refer someone. Send your resume + salary expectations to:📧 [alinesilvarh2020@gmail.com]