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.

Our employees' passion for excellence, innovation, and customer satisfaction is our most-prized resource. If you share that passion — and want to be part of a company that leads the energy transition towards a cleaner and more resilient world for future generations — we invite you to join us

ETAP is committed to creating a diverse work environment and is proud to be an Equal Opportunity Employer.

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 FastAPI, Docker, and cloud platforms (Azure ML)
- Implement robust validation, testing, and monitoring to ensure mod

📌 Data Science and Machine Learning Engineer (Ciudad de México)
🏢 Etap
📍 Ciudad de México