MLOps Engineer - Remote

Overview

Kiavi is looking for a skilled MLOps Engineer to join our data team, responsible for designing and implementing Machine Learning platform features for our partner Data Scientists.

In Short

• Join a leading private lender to residential real estate investors.
• Design and implement Machine Learning platform features.
• Work with various models including real-time and batch results.
• Collaborate with Data Engineering, Data Science, and DevOps teams.
• Participate in code reviews and ensure code quality.
• Implement automated solutions for data processing systems.
• Document and communicate data engineering solutions.
• Work on automation and process improvement opportunities.
• Remote work flexibility in approved hiring regions.
• Competitive salary and benefits package.

Requirements

• Bachelor's degree in Computer Science, Data Science, or related field.
• Experience building and testing ML models.
• Experience with CICD pipelines using tools like CircleCI or Jenkins.
• 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 cloud concepts (AWS, Azure, GCP).
• Strong knowledge of data structures and algorithms.
• Excellent problem-solving skills and attention to detail.
• Good communication skills and ability to work collaboratively.

Benefits

• Free medical, dental, and vision insurance for employees.
• Annual employer contribution to Health Savings Accounts.
• Access to short-term and long-term disability insurance.
• Remote work policy with stipends for home office setup.
• Flexible time off with no strict limits.
• Up to 8 weeks of paid leave for medical or caregiver purposes.
• 401(k) plan with employer match.
• Eligibility for stock option grants.