Title: MLOps Engineer
Location: Austin TX or San Jose CA- Remote

JD:
•                   The MLOps engineer should have 5+ years of experience in Python Pandas, Spark and will have experience building large-scale data pipelines
•                   Experience in Seldon, Triton, Jenkin CI/CD
•                   One year of experience in Big data technologies such as BigQuery, Hadoop, SQL, Hive, GCP/Azure, Java, REST (nice to have)
In your day-to-day responsibilities:
•                   Design & create the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
•                   Take models that data scientists built and turn them into a machine learning production system
•                   Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
•                   Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our clients’ machine learning systems
•                   Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
•                   Support model development with an emphasis on auditability, versioning, model measurement and data security
•                   Interpret the results of the models, read data on a fundamental level, and understand how it relates to the problem being solved by the model.
•                   Monitor the performance of your models, and need to be able to troubleshoot any errors or bugs that may occur.