Kiavi is looking to solve the problem of providing a simpler, more reliable, and faster way to access capital for residential real estate investors (REIs) by harnessing the power of data and technology.
Requirements
- Experience building and testing ML models.
- Experience developing and maintaining CICD Pipelines in tools like CircleCI, Jenkins, or BuildKite.
- Hands-on experience with big data technologies such as Spark and Hive.
- Advanced expertise in SQL and NoSQL databases.
- Experience with Airflow or similar workflow orchestrators.
- Familiarity with AWS, Azure, or GCP concepts.
- Experience with Databricks and PySpark.
Responsibilities
- Experience with online (real-time) and offline (batch) models in large production environments.
- Develop and maintain machine learning models, CICD solutions, and feature stores.
- Collaborate with cross-functional teams, including Data Engineering, Data Science and DevOps, to ensure seamless data integration.
- Participate in code reviews, ensuring code quality and best practices are followed.
- Implement automated solutions to monitor and optimize data processing systems to ensure they operate efficiently and effectively.
- Document and communicate data engineering solutions and processes to relevant stakeholders.
- Work closely with other teams to identify opportunities for automation and process improvement.
Other
- Bachelor's degree in Computer Science, Data Science, or a related field.
- Ability to work in a fast-paced, collaborative environment.
- Good written and verbal communication skills.
- Flexible Time Off: Employees are empowered to manage their own time off, with no strict limits, as long as it's approved by their manager.
- Paid Leaves: Up to 8 weeks of paid leave for medical or caregiver purposes, and 12 weeks of paid maternity/paternity leave.
