MLOps Team Lead - Remote

Overview

At UVeye, we're on a mission to redefine vehicle safety and reliability globally. We seek an experienced technical leader to head our MLOps team, where you will lead a team of developers and build and maintain our machine learning infrastructure and deployment pipelines.

In Short

• Build, recruit, and lead a team of MLOps engineers.
• Architect and implement enterprise-scale MLOps infrastructure.
• Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
• Design and optimize model-serving architectures.
• Ensure high availability and scalability of ML systems.
• Collaborate with Algorithm Engineers to deliver innovative solutions.
• Partner with product teams to align ML solutions with business objectives.
• Communicate technical plans and progress to stakeholders.
• Establish and enforce MLOps standards and best practices.

Requirements

• BSc in Computer Science or industry equivalent.
• Backend engineer with at least 7 years of experience.
• Proficiency in Python and common ML frameworks.
• Proven track record of leading technical teams.
• Excellent communication and interpersonal skills.
• Strong background in software engineering.
• Experience with cloud platforms (AWS/GCP).

Benefits

• Pioneer Advanced Solutions in AI, machine learning, and computer vision.
• Drive Global Impact enhancing automotive safety and reliability.
• Career Growth Opportunities surrounded by groundbreaking advancements.