At UVeye, we're on a mission to redefine vehicle safety and reliability globally. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, which represents the pinnacle of machine learning, GenAI, and computer vision within the automotive sector.

With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world

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We seek to hire a Backend / MLOps Team Lead to join our AI unit and lead the development of infrastructure for production ML model

s.If you have experience leading teams, backend infrastructure, DevOps, or working with Machine Learning models, this is a great opportunity to make a big impact in an advanced technological environmen

t.

A day in the life and how you’ll make an imp

• act:Recruit, develop, and lead a high-performing MLOps engineering team focused on innovation and collaborat
• ion.Architect and implement a scalable enterprise MLOps infrastructure to support complex ML proje
• cts.Build and maintain ML infrastructure and frameworks supporting agile ML lifecycle management using CI/CD methodolog
• ies.Design and optimize high-availability, scalable model-serving architectures for production environme
• nts.Work closely with algorithm engineers to translate cutting-edge research into deployable ML soluti
• ons.Partner with product teams to ensure alignment of ML initiatives with strategic business objecti
• ves.Present and communicate technical plans, progress, and challenges to diverse organizational stakehold
• ers.Define, implement, and enforce robust MLOps policies, standards, and best practi

ces.

Require

• ments:Bachelor’s degree in Computer Science or equivalent industry exper
• ience.At least 6 years of experience as a backend eng
• ineer.Strong proficiency in Python and popular machine learning frame
• works.Proven experience leading and mentoring technical
• teams.Excellent communication and interpersonal s
• kills.Solid foundation in software engineering best prac
• tices.Hands-on experience with cloud platforms such as AWS o

r GCP.

Bonus if y

• ou have:Experience working with MLOps platforms like MLFlow or K
• ubeflow.Background in optimizing machine learning algorithm implemen
• tations.Knowledge of GPU and CPU performance optimization tec

hniques.

Why UVeye:Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle in

spections.Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an internatio

nal scale.Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry par