About the Company ETAP empowers customers to make informed decisions throughout the life cycle of their projects with innovative software solutions for electrical systems. By applying ETAP solutions, customers experience continuous intelligence during design and engineering and into operations and maintenance using a unified electrical digital twin platform. ETAP supports customers in their digital transformation and sustainable energy transitions for a green and smart future, helping them to prioritize safety, maximize reliability, and stay resilient.
Job Title Data Science & Machine Learning Engineer
Location On-site (Mexico)
Employment Type Full-time
About The Role ETAP’s Cloud Division is expanding its AI/ML capabilities and is seeking a Data Science & Machine Learning Engineer to help design, build, and deploy intelligent systems at scale. This hybrid role bridges data science and production engineering, focusing not only on building high-performing models but also on operationalizing them in real-world environments.



You will work on high-impact initiatives across predictive modeling, graph machine learning, and generative AI, contributing directly to product innovation.
Key Responsibilities Design, develop, and deploy machine learning models for classification, regression, ranking, and recommendation systems Build end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring Productionize models as scalable APIs using Fast API, Docker, and cloud platforms (Azure ML) Implement robust validation, testing, and monitoring to ensure model performance and reliability in production Collaborate with data engineers and software teams to integrate ML solutions into production systems Monitor models for drift, retrain pipelines, and continuously improve performance Required Qualifications Strong programming skills in Python, with expertise in Pandas, Num Py, and scikit-learn Experience building and deploying end-to-end ML systems

📌 Data science and machine learning engineer (México)
🏢 ETAP Software
📍 México