Lead AI Data Engineer

Required Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field; or 8 years of equivalent work experience3-4 years of additional work experience beyond degree requirementsMachine Learning (ML) and Deep Learning (DL): Proficiency in geospatial and computer vision analysis.Experience with ML/DL models/algorithms (classification, regression, NLP, computer vision).Knowledge of secure AI architectural patterns.Programming Skills: Proficiency in Python (and PySpark preferred).SQL expertise for data querying and manipulation.Familiarity with Docker and MLOps practices.Cloud Platforms (AWS and Azure): Experience with AWS services for data engineering (e.g., S3, Glue, Redshift, Lambda).Familiarity with transitioning platforms from Azure to AWS.Data Engineering: Building and optimizing data pipelines (ETL/ELT processes).Experience with large-scale data ingestion and transformation.Experience with Agile methodologies