Principal MLOps Engineer - Remote

Overview

We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform, requiring significant expertise in Machine Learning engineering and infrastructure.

In Short

• Architect and optimize data infrastructure for ML and deep learning models.
• Collaborate with cross-functional teams for engineering solutions.
• Own development and operation of high-performance inference systems.
• Provide technical leadership and mentorship to the engineering team.

Requirements

• Experience in designing scalable ML inference systems.
• Hands-on experience with TensorFlow, Keras, or Spark MLlib.
• Strong foundation in machine learning algorithms and statistical modeling.
• Proficiency in Java is required.
• Experience in Apache Hadoop ecosystem.
• Expertise in public cloud services, especially GCP and Vertex AI.
• Ability to tackle complex challenges with innovative solutions.
• Strong communication skills in a remote setting.

Benefits

• Opportunity to work with cutting-edge technologies.
• Remote work flexibility.
• Collaborative and innovative team environment.
• Mentorship opportunities.