Senior AI and Enterprise Data Engineer

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.