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Duque Ortega Mutis professional portrait

Open to opportunities

Let's talk about MLOps, Production ML and Applied AI roles

I am looking for my first formal role in ML/MLOps, with a focus on entry-level or junior opportunities where production-minded ML work matters.

Available to start In 2 weeks

Work modes CDMX hybrid · MX remote · LATAM remote for USA/EU companies

Languages Spanish (native) · English (professional)

Best-Fit Roles

Primary target

Entry-level / junior MLOps / Production ML

Teams building, deploying, monitoring and improving ML systems.

Also relevant

ML Engineer / AI Engineer I

Roles where model work needs software engineering, APIs and operating discipline.

Adjacent fit

ML Platform or Data Engineering

Infrastructure, workflow and data roles connected to production ML systems.

Email

DuqueOrtegaMutis@gmail.com

Best direct channel for recruiting or project conversations.

LinkedIn

linkedin.com/in/duqueom

Professional background and connection requests.

GitHub

github.com/DuqueOM

Repositories, source code and portfolio work.

Portfolio repo

ML-MLOps-Portfolio

The source behind this GitHub Pages site.

Template repo

Production Template

The reusable MLOps template extracted from this portfolio.

Video

YouTube demo

A guided walkthrough of the project evidence.

Recruiter view

Recruiter brief

A short screening page with target roles, fit and first-90-days contribution.

Short Recruiter Summary

Entry-level MLOps & Production ML candidate with 14 years of operations experience and hands-on projects in Python, FastAPI, Docker, Kubernetes, Terraform, MLflow, CI/CD, monitoring and PySpark. Looking for entry-level / junior roles where I can help build, deploy, monitor and improve ML systems. Formal training: Data Science Professional Program, TripleTen, 2026. Hands-on AWS work (EKS, ECR, IRSA, Terraform) exercised across the portfolio.