Kiavi is one of the nation’s largest private lenders to residential real estate investors (REIs). We harness the power of data & technology to offer our customers a simpler, more reliable, and faster way to access the capital they need to scale their businesses. 

Formerly known as LendingHome, we’re committed to helping REIs revitalize the approximately $25 trillion worth of aged U.S. housing stock to provide move-in ready homes and rental housing for millions of Americans across the country.

• Loans Funded: $22 billion in loans funded 
• Homes financed: 71,000+ projects funded for our customers across the country
• Geography: 31 states + D.C. where we lend to REIs so they can revitalize neighborhoods
• Employees: Over 400 employees with competitive benefits and perks

This position can be based remotely in any of our approved hiring regions. Our hybrid distributed workforce philosophy allows us to find the best talent in the country and build diverse teams, while allowing our colleagues to work from the location that works best for them. 

We are not approved to hire in the following regions: Alabama, Alaska, Arkansas, Connecticut, Delaware, Idaho, Indiana, Iowa, Louisiana, Massachusetts, Mississippi, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, South Dakota, Vermont, Wyoming.

JOB SUMMARY

Kiavi is looking for a skilled MLOps Engineer to join our data team. 

As an MLOps Engineer, you will be responsible for designing and implementing Machine Learning platform features for our partner Data Scientists. You will work with a variety of models ranging from online or real-time models, models which serve batched results, or large language models using Databricks, MLFlow, Python and related technologies. The ideal candidate should have a strong background in data science and MLOps or DevOps, with experience in designing, building, and optimizing models in non-production and production environments.

JOB DUTIES

• 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.

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 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.
• Proven ability and aptitude for learning and applying new technologies in your work. 
• Strong knowledge of data structures, algorithms, and software design principles.
• Excellent problem-solving skills and attention to detail.
• Good written and verbal communication skills.
• Ability to work in a fast-paced, collaborative environment.

PREFERRED QUALIFICATIONS

• Experience with Databricks and PySpark.
• Experience with containerization tools such as Docker or Kubernetes.
• Maintaining and implementing feature stores for machine learning models

Kiavi takes a market-based approach to pay, and pay may vary depending on your location. Work locations are categorized into one of three tiers based on cost of labor for that geographic area. These ranges may be modified in the future.

Region 1 - $149,700 - $224,500 + benefits

Region 2 - $142,200 - $213,400 + benefits

Region 3 - $134,700 - $202,100 + benefits