Accountabilities:
- Design and maintain AI-augmented, large-scale data pipelines integrating traditional transformations with ML models.
- Build and maintain scalable pipelines for generating, storing, and serving vector embeddings.
Requirements:
- Bachelor's degree in Computer Science, Data Engineering, Machine Learning, or similar.
- 5+ years of experience in data engineering, ML engineering, or a hybrid role.
- Experience building and operating production data pipelines that invoke ML models at scale.
Benefits:
- Flexible work schedule with potential for remote work options.
- Opportunities for professional development and continuous learning.
- Comprehensive medical, dental, and vision coverage for eligible employees.
Columbia General
Columbia General operates at the forefront of generative AI technology, creating solutions that enhance capabilities on a global scale. They foster a collaborative and innovative work culture, with a focus on leveraging cutting-edge tools.