Senior MLOps Engineer

Kiavi; United States; Remote; USD 134,000 - 225,000; Full time

Job summary

An established industry player is seeking a talented MLOps Engineer to join its innovative data team. In this exciting role, you will design and implement cutting-edge Machine Learning platform features, collaborating closely with Data Scientists and cross-functional teams. Your expertise in building and optimizing models will be crucial in enhancing data processing systems and ensuring efficient operations. This forward-thinking company values creativity and initiative, empowering you to take ownership of your work while offering a flexible work environment. If you're passionate about leveraging technology to drive impactful solutions in the real estate sector, this opportunity is perfect for you.

Benefits

Medical, Dental, and Vision Insurance

Health Savings Account (HSA)

Disability and Life Insurance

Remote Work Policy

Flexible Time Off

Paid Leaves

401(k) & Company Match

Product Ownership

Qualifications

• Strong background in data science and MLOps or DevOps.
• Experience in designing, building, and optimizing ML models.

Responsibilities

• Develop and maintain machine learning models and CICD solutions.
• Collaborate with teams to ensure seamless data integration.
• Implement automated solutions for data processing systems.

Skills

Machine Learning

Data Science

MLOps

DevOps

Problem-solving

Communication Skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Tools

Databricks

MLFlow

CircleCI

Jenkins

Spark

Hive

Airflow

AWS

Azure

GCP

Job description

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.

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

Benefits and Perks

• Medical, Dental, and Vision Insurance: Kiavi offers free employee-only coverage for medical, dental, and vision plans. Dependents receive a heavily discounted premium, competitively placed in the 90th percentile for cost.
• Health Savings Account (HSA): For those enrolled in a High Deductible Health Plan (HDHP), Kiavi provides an annual employer contribution to HSAs: $500 for individual coverage and $1,000 for dependents.
• Disability and Life Insurance: Immediate access to short-term and long-term disability insurance, as well as group life and AD&D insurance, with coverage at 1x annual salary.
• Remote Work Policy: Kiavi supports working remotely for day to day activities for most roles and occasionally may ask employees to gather in person for key meetings, trainings, team building etc. For remote workers, Kiavi offers a one-time office setup reimbursement of up to $500 and a monthly $85 stipend for internet and phone expenses.
• 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.
• 401(k) & Company Match: A 401(k) plan managed by Fidelity, with Kiavi matching 100% of contributions up to 3% of compensation or $6,000 (whichever is less). All employer contributions are immediately vested.
• Product Ownership: All employees think like an owner because all employees play a critical role in making our business great. Many roles are eligible for stock option grants.

Kiavi is an Equal Opportunity Employer.