MLOps Engineer

Job Title: MLOps Engineer

Location: Austin TX San Jose CA

Duration: 12months

Job Description;

The MLOps engineer should have 5 years of experience in Python Pandas Spark and will have experience building largescale 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.

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