Mlops Engineer

Position - MLOps Engineer (ML Deployment Focus) |Location - LATAM (Remote)We're hiring an MLOps Engineer to own and scale our ML deployment pipelines in the pharma & life sciences space.If you love productionizing models, building rock-solid infrastructure, and making a real impact on healthcare & drug discovery — this one's for you.What You'll Do• Own end-to-end ML deployment pipelines• Deploy Py Torch, scikit-learn & XGBoost models at scale• Build & maintain CI/CD pipelines and API endpoints for model serving• Work with Docker, AWS, and Ia C tools (Terraform / Cloud Formation)• Drive best practices for secure, scalable ML systems in regulated healthcare environments✅ What You Need• Solid MLOps / production ML deployment experience• Hands-on with AWS, Docker, MLflow / Kubeflow / Airflow• Strong Python ML ecosystem knowledge (pandas, numpy, Py Torch, scikit-learn)• Experience with API development & Infrastructure as Code⭐ Bonus Points