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Lead AI Data Engineer
Glendale, California
RIT Solutions, Inc.
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Required Qualifications:
Bachelor's degree in Computer Science, Information Systems, or related field; or 8 years of equivalent work experience
3-4 years of additional work experience beyond degree requirements
Machine 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
Date Posted: 19 May 2025
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