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.
We seek an experienced technical leader to lead our MLOps Engineering Team Leader
In this role, you will lead a team of developers and build and maintain our machine learning infrastructure and deployment pipelines. This role combines technical expertise in machine learning operations with strong leadership abilities to guide our team of engineers in delivering scalable ML solutions.
A day in the life and how you’ll make an impact:
- Build, recruit, and lead a team of backend 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
- BSc in Computer Science or industry equivalent.
- Backend engineer with at least 7 years of experience
- Proven track record of leading technical teams for 3+ years
- 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)
Bonus if you have:
- Experience with MLOps platforms (MLFlow, Kubeflow)
- Experience with optimizing algorithm implementations
- Experience with GPU/CPU optimizations
Why UVeye:
Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.
Top Skills
What We Do
UVeye is a computer vision tech company that develops automated inspection systems for vehicles, powered by artificial intelligence and proprietary hardware.
Founded in 2016 by Amir and Ohad Hever, our systems have been installed at 100+ sites, including vehicle manufacturers, dealerships, fleet companies, logistical centers, energy, financial, diplomatic, and other sensitive security facilities.
In 2019, Toyota Tsusho and Volvo headlined a $31M Series B, joining W.R. Berkley and F.I.T Ventures. In 2021, UVeye secured its Series C round from strategic investors like CarMax and Hyundai Motors, bringing UVeye to a grand total of over $90M in investment capital.
As of March 2022, Volvo announced an expansion to their partnership with a long-term program aiming to install UVeye devices in all of its North American dealerships.
Each day we are making an impact with technology by harnessing the power of AI to detect vehicle issues or security-related threats in the undercarriage before they cause fatalities. Our mission, every day, is to raise the standard of vehicle inspections to help create better mobility and safer roads.
