Job Summary
The role involves designing and enhancing robust data pipelines and machine learning infrastructure to bolster the platform’s capabilities. This position requires close collaboration with product and machine learning engineers to translate customer data into precise, deployable models and features.
Responsibilities
- Develop and improve reliable data pipelines.
- Establish and maintain machine learning infrastructure for the platform.
- Work in partnership with product and machine learning engineers to convert customer data into actionable models.
- Ensure models and features are production-ready and meet business needs.
Qualifications
- Minimum of 5 years of experience in data or software engineering, particularly in an early-stage startup environment.
- Extensive knowledge and expertise in constructing production-level data pipelines.
- Proficiency in MLOps practices and methodologies.
- Strong command of AI coding tools and their effective application.
Keebo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
