Kiavi is one of the nation’s largest private lenders to residential real estate investors (REIs), offering a simpler, more reliable, and faster way to access capital.
The company has funded $27 billion in loans and financed over 100,000 projects across 45 states and D.C.
Kiavi is seeking a skilled MLOps Engineer to join their data team, responsible for designing and implementing Machine Learning platform features for Data Scientists.
The role involves working with various models, including online, offline, and large language models using Databricks, MLFlow, and Python.
The position can be based remotely in approved hiring regions, supporting a hybrid distributed workforce philosophy.
Requirements:
A Bachelor's degree in Computer Science, Data Science, or a related field is required.
Candidates must have experience building and testing ML models.
Experience in developing and maintaining CICD Pipelines using tools like CircleCI, Jenkins, or BuildKite is necessary.
Hands-on experience with big data technologies such as Spark and Hive is required.
Advanced expertise in SQL and NoSQL databases is essential.
Familiarity with Airflow or similar workflow orchestrators is needed.
Candidates should have knowledge of AWS, Azure, or GCP concepts.
A proven ability to learn and apply new technologies is required.
Strong knowledge of data structures, algorithms, and software design principles is necessary.
Excellent problem-solving skills and attention to detail are essential.
Good written and verbal communication skills are required.
The ability to work in a fast-paced, collaborative environment is necessary.
Benefits:
Kiavi offers free employee-only coverage for medical, dental, and vision insurance, with discounted premiums for dependents.
An annual employer contribution to Health Savings Accounts (HSA) is provided for those enrolled in a High Deductible Health Plan.
Immediate access to short-term and long-term disability insurance, as well as group life and AD&D insurance, is available.
The company supports remote work and provides a one-time office setup reimbursement and a monthly stipend for internet and phone expenses.
Employees have flexible time off with no strict limits, subject to manager approval.
Up to 8 weeks of paid leave for medical or caregiver purposes and 12 weeks of paid maternity/paternity leave are offered.
A 401(k) plan with a company match of 100% of contributions up to 3% of compensation or $6,000 is available, with immediate vesting of employer contributions.