Machine Learning Operations (MLOps) Architect - GCP - Remote

Overview

We are looking for a seasoned Machine Learning Operations (MLOPs) Architect to build and optimize ML inference platform. This role demands significant expertise in Machine Learning engineering and infrastructure, focusing on building ML inference systems.

In Short

• Architect and optimize existing data infrastructure for ML models.
• Collaborate with cross-functional teams to create engineering solutions.
• Develop and operate high-performance ML inference systems.
• Provide technical leadership and mentorship.

Requirements

• Experience in scalable ML inference systems.
• Hands-on with deep learning frameworks like TensorFlow and Keras.
• Strong foundation in ML algorithms and statistical modeling.
• Ability to solve complex challenges with innovative solutions.
• Experience with Apache Hadoop ecosystem.
• Expertise in GCP and Vertex AI.

Benefits

• Work in a remote setting with flexible hours.
• Opportunity to lead and mentor a high-performing team.
• Engage in cutting-edge machine learning projects.