Principal MLOps Engineer - Remote

Overview

We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. This remote position demands significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems.

In Short

• Architect and optimize data infrastructure for machine learning.
• Collaborate with cross-functional teams for engineering solutions.
• Develop high-performance ML inference systems.
• Provide technical leadership and mentorship.
• Design and implement scalable ML inference systems.
• Hands-on experience with deep learning frameworks.
• Strong foundation in machine learning algorithms.
• Ability to tackle complex challenges with innovative solutions.
• Experience with Apache Hadoop ecosystem.
• Expertise in public cloud services, especially GCP.

Requirements

• Proven expertise in model optimization techniques.
• Proficiency in Java is required.
• In-depth understanding of LLM architectures.
• Bachelor's degree in Computer Science (10+ years) or Master's degree (8+ years).
• Specialization in Machine Learning preferred.

Benefits

• Work in a remote setting with a high-performing team.
• Opportunity to work on cutting-edge machine learning projects.
• Competitive salary and benefits package.
• Professional development opportunities.