Data Science and Machine Learning Engineer

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 like 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, manage retraining pipelines, and continuously improve performance

Requirements

• 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

Preferred Qualifications

• Experience with deep learning frameworks such as 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 like ONNX
• Experience working in cloud-native, distributed environments

Benefits

• 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

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.