Overview

Senior Data Engineer (AI/ML) role at Oracle in Mexico, focusing on designing and implementing scalable data pipelines for AI and machine learning initiatives. Collaborate with cross-functional teams to drive data-driven insights and optimize ML model performance. Join Oracle's innovative environment to advance cutting-edge AI technologies.

Responsibilities

• Design, build, and maintain robust data pipelines using Apache Spark, Kafka, and Oracle Cloud Infrastructure.
• Develop and optimize ETL processes for large-scale datasets supporting AI/ML workloads.
• Implement machine learning models and integrate them into production data systems.
• Ensure data quality, governance, and security across AI/ML platforms.
• Collaborate with data scientists to preprocess and feature-engineer data for model training.
• Monitor and troubleshoot data pipelines for performance and reliability in cloud environments.
• Automate data workflows using Python, SQL, and orchestration tools like Airflow.
• Contribute to architectural decisions for scalable AI/ML data infrastructure.

Qualifications

• Bachelor's or Master's in Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering with AI/ML projects.
• Proficiency in Python, SQL, Spark, and cloud platforms (Oracle OCI preferred).
• Strong experience with ETL tools, data warehousing, and streaming technologies.
• Knowledge of ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Excellent problem-solving skills and experience in agile environments.

Benefits

• Competitive salary and performance bonuses.
• Comprehensive health, dental, and vision insurance.
• Remote work flexibility and modern office in Mexico.
• Professional development with Oracle training and certifications.
• Generous PTO, parental leave, and employee wellness programs.