Machine Learning Engineer / MLOps (Python, Cloud, Data) – Híbrido - CDMX

About Orion Innovation

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

About the Role

We are seeking a Machine Learning / MLOps Engineer with experience in bringing Machine Learning models to production and building scalable solutions within the data environment.

This position is part of advanced analytics and personalization initiatives, with direct impact on customer experience.

Responsibilities

• Construction and maintenance of Machine Learning pipelines
• Implementation of CI/CD processes for models
• Deployment of models in production environments
• Integration of models in APIs and services
• Monitoring of performance, drift and model versioning
• Collaboration with Data Science and Data Engineering teams

Requirements

• +3 years in data or Machine Learning roles
• Experience with Python and SQL
• Experience working with data or ML pipelines (Airflow, Spark)
• Knowledge of ML Ops tools (MLflow, DVC, Kubeflow or similar)
• Experience in cloud (AWS or GCP)
• Knowledge of Docker and Kubernetes (desirable)
• Experience in CI/CD

Technology Stack

Python, SQL, Spark, Airflow, BigQuery, Snowflake, Redshift, Docker, Kubernetes, MLflow, DVC, Vertex AI, SageMaker, Git

Benefits

• Legal benefits and above-market compensation
• Exposure to multicultural teams and projects
• Professional development in advanced analytics

Equal Opportunity

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.