
Posted 3 days ago
Senior AI and Enterprise Data Engineer
GNPIngeniero de IA y Datos Empresariales Sr.
Requirements
Degree in Actuarial Science, Applied Mathematics, or Systems Engineering, Machine learning, deep learning, and generative AI knowledge, Data engineering and pipeline development, Cloud data architecture and security, Intermediate English (60%)
Skills
PythonSQLGCPMachine LearningMLOpsSparkBigQuery
About the role
Responsibilities
- Develop and manage data pipelines to ensure efficient collection, transformation, and delivery of data for AI/ML modeling.
- Develop, deploy, and optimize AI/ML models aligned with business objectives and regulatory requirements.
- Implement and supervise compliance frameworks to ensure data security, privacy, and proper management of AI/ML models.
- Promote the adoption of AI/ML solutions across the organization and drive the development of new data-driven products.
Requirements
- Degree in Actuarial Science, Applied Mathematics, or Systems Engineering.
- Strong knowledge of Machine Learning, Deep Learning, and Generative AI.
- Experience in data engineering, pipeline development, and cloud data architecture.
- Proficiency in Python and SQL.
- Experience with cloud frameworks such as Spark or BigQuery.
- Familiarity with MLOps tools like MLflow, Kubeflow, Vertex AI Pipelines, or Airflow.
- Intermediate English proficiency (approximately 60%).
Preferred Qualifications
- Experience in the financial or insurance sectors.
- Hands-on experience with platforms such as Palantir Foundry, Google Vertex AI, or Google Cloud Platform (GCP).
- Expertise in designing and constructing MLOps workflows, including CI/CD integration.
- Experience with automation of processes based on AI.
About the Company
GNP is a leading organization dedicated to providing innovative and reliable solutions through advanced technology and data intelligence.
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GNP · Mexico
