Requirements
- Strong experience in Python and SQL.
- Experience with Java and/or Spark is preferred but not essential.
- Experience in building data and content processing pipelines, sharding design, and microservices.
- Familiarity with Kafka, Docker, Kubernetes, and other related technologies.
- Experience with unstructured data and document processing.
- Passion for generative AI.
- Work on exciting and innovative ML and data engineering projects.
- Opportunities for professional growth and skill development.
- A flexible, hybrid work environment.
- Competitive hourly rate.