I am a Machine Learning Engineer with a Google Cloud certification, experienced in designing, deploying, and maintaining scalable ML systems on Google Cloud. I build end-to-end ML pipelines, develop production-ready models, and apply MLOps practices to ensure reliable, observable deployments. I am passionate about solving complex AI problems and delivering high-quality ML solutions, collaborating with cross-functional teams to turn data into actionable insights and impact.

Benjamin Gonzalez

I am a Machine Learning Engineer with a Google Cloud certification, experienced in designing, deploying, and maintaining scalable ML systems on Google Cloud. I build end-to-end ML pipelines, develop production-ready models, and apply MLOps practices to ensure reliable, observable deployments. I am passionate about solving complex AI problems and delivering high-quality ML solutions, collaborating with cross-functional teams to turn data into actionable insights and impact.

Available to hire

I am a Machine Learning Engineer with a Google Cloud certification, experienced in designing, deploying, and maintaining scalable ML systems on Google Cloud. I build end-to-end ML pipelines, develop production-ready models, and apply MLOps practices to ensure reliable, observable deployments.

I am passionate about solving complex AI problems and delivering high-quality ML solutions, collaborating with cross-functional teams to turn data into actionable insights and impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
Spanish; Castilian
Fluent

Work Experience

AI/ML Specialist at ORIGEOS AI
August 1, 2024 - Present
Assist in developing and testing machine learning models using Python and common ML libraries. Work with datasets and perform data preprocessing using Pandas and NumPy. Support the development of ML pipelines using Google Cloud services such as Vertex AI and BigQuery. Participate in model training, evaluation, and experimentation. Collaborate with engineers to integrate ML components into applications. Learn and apply MLOps practices for model deployment and monitoring. Projects include: ML Pipeline on Google Cloud (Vertex AI + BigQuery), data preprocessing/feature engineering, and training/evaluation of classification models with Scikit-Learn; ML Classification Model using XGBoost with EDA/feature selection resulting in 15-20% accuracy gains; Kaggle competition projects achieving 1st place.

Education

Add your educational history here.

Qualifications

Google Cloud Professional Machine Learning Engineer
February 1, 2026 - March 24, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment