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. 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.
The job involves experience with online (real-time) and offline (batch) models in large production environments; developing and maintaining machine learning models, CICD solutions, and feature stores; collaborating with cross-functional teams; implementing automated solutions to monitor and optimize data processing systems; and documenting data engineering solutions and processes.