Data Science and Machine Learning Engineer

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 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

• Strong programming skills in Python, with expertise in Pandas, NumPy, and scikit-learn
• Experience building and deploying end-to-end ML systems in production environments
• Solid knowledge of SQL/NoSQL databases and data pipeline development
• Hands-on experience with XGBoost and/or LightGBM for structured data problems
• Experience with MLOps tools such as Git, Docker, MLflow/Weights & Biases, and Azure ML
• Strong understanding of model evaluation metrics and performance trade-offs

• Experience with deep learning frameworks (PyTorch or TensorFlow)
• Familiarity with model optimization and tuning (e.g., Optuna)
• Experience with Graph ML (PyTorch Geometric, DGL) or Generative AI (RAG, embeddings, LangChain, LlamaIndex)
• Knowledge of model serialization and deployment standards (ONNX)
• Experience working in cloud-native, distributed environments

• A strong engineering mindset with the ability to take models from concept to production
• Curiosity and passion for applying cutting-edge AI/ML techniques
• A results-driven approach focused on delivering measurable business impact
• Strong collaboration and communication skills across technical and non-technical teams

• Competitive compensation aligned with the Mexican market
• Opportunity to work on cutting-edge AI/ML and cloud technologies
• A collaborative, innovative, and inclusive work environment
• Exposure to global teams and impactful projects

ETAP is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.

Come and join ETAP to create the transformative technology that enables our customers to engineer a better world.