Python Developer
Machine Learning Engineer
Machine Learning Engineer with experience building and deploying end-to-end ML systems in production, from data pipelines to scalable APIs and cloud infrastructure. I have worked on product matching systems, price optimization models, and profitability frameworks that directly support revenue growth and business decision-making.
My background includes optimizing training pipelines, implementing MLOps practices (MLflow, Docker, Kubernetes), and building reliable ML services using Python, FastAPI, and PySpark-based data processing. I also collaborate closely with backend and frontend teams to integrate ML solutions into production microservice architectures.
I am currently looking for Machine Learning Engineer / MLOps Engineer roles where I can focus on building scalable ML systems, improving model lifecycle management, and delivering production-ready AI solutions in cloud environments.
Experience: 5 years
Yearly salary: $140,000
Hourly rate: $70
Nationality: 🇧🇷 Brazil
Residency: 🇧🇷 Brazil
Experience
MLOps Developer
Orasis Holding 2024 - 2026
• End-to-end ownership of ML systems in production, from data pipelines to deployment, focusing on scalability and reliability • Deployed and orchestrated ML services using Docker and Kubernetes on Azure • Collaborated with backend and frontend teams to integrate multiple microservices into production systems • Translated business requirements into scalable ML solutions across engineering teams
Skills
python
english
portuguese