Client: DataArt's client is the foremost airline in South America, offering the widest selection of destinations, flight frequencies, and aircraft fleet options.
- Responsibilities: Design, develop, and deploy machine learning models that address business challenges or optimize industrial processes Implement data pipelines and ETL processes to prepare and preprocess data for model training and deployment
- Work closely with cross-functional teams, including data engineers, software developers, and product managers, to integrate ML solutions into production
- Set up CI/CD pipelines to streamline the development and deployment process, ensuring smooth integration of ML models into production environments
- Maintain and optimize existing ML systems, ensuring scalability, efficiency, and reliability
- Document processes,



create reusable scripts, and follow best practices for coding, testing, and version control
- Requirements: Proficiency in Python for data manipulation, modeling, and scripting
- Proficiency in SQL for querying, managing, and processing large datasets
- Familiarity with CI/CD pipelines for streamlined development, testing, and deployment
- Ability to work with large-scale datasets, including data extraction, transformation, and loading (ETL) processes
- Basic knowledge of Google Cloud Platform (GCP), particularly for data storage, model deployment, or cloud-based ML workflows

📌 Ai/ml Developer, Airline Services (Monterrey)
🏢 DataArt
📍 Monterrey