Lead AI Data Engineer

2 weeks ago

Glendale, CA, United States RIT Solutions, Inc. Full time
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

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