MLOps Engineer

Job Description;

• 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 
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.