AI/ML engineering, built for production — not just a pilot.
15+ years of engineering experience across Mexico, Canada, Italy, Austria, and Germany, spent turning machine learning, generative AI, and cloud architecture into systems that hold up outside a notebook.
Julio started as a mechatronics engineer and moved into machine learning through hands-on production work: deploying generative AI and synthetic data systems for enterprise customers, running multi-cloud infrastructure on AWS, Azure, and GCP, and building models in TensorFlow and H2O for real client problems, from predictive maintenance on robotic arms to production ML pipelines. He's published applied research in NLP and predictive maintenance, and has worked across five countries in roles that combined deep technical build-out with enterprise-scale deployment. He's now looking for a hands-on AI/ML engineering role — building and scaling systems, not just advising on them.
Technical Customer Success Manager
- Architect agentic orchestration solutions for enterprise clients, from use-case validation through implementation and ongoing optimization.
- Design deployment architecture across SaaS, cloud, hybrid, and self-managed environments, including air-gapped infrastructure for regulated industries.
- Lead technical architecture reviews and onboarding to drive platform adoption for enterprise accounts.
Customer Experience Engineer
- Architected multi-cloud infrastructure (AWS, Azure, GCP) for generative AI and synthetic data deployments across customer environments.
- Standardized deployment pipelines for a generative AI application to support product-led growth.
- Deployed and troubleshot applications on Kubernetes and OpenShift; built technical enablement materials for engineering and customer teams.
Machine Learning Engineer, Freelance
- Gathered requirements and built logical and physical system specifications for client machine learning projects.
- Researched, designed, and tested ML/AI models using TensorFlow and H2O for production use cases.
- Managed multi-cloud infrastructure (Azure, GCP): monitoring, cost and availability reporting, virtualization, containerization.
Junior Machine Learning Engineer, Internship
- Developed a machine learning model for preventive maintenance of palletizing robotic arms (cobots).
- Built data and process models to optimize architecture and evaluate design performance and reliability.
earlier international management experience (sales, operations) is on the full résumé