Engineering Manager (Lime Vision)
Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Jun 15, 2026.
Join Lime, a leading company in the field of computer vision and machine learning. As an Engineering Manager, you will lead a team responsible for developing and deploying advanced solutions that power intelligent, real-world systems. You will drive technical strategy, execution, organizational growth, and business impact across computer vision initiatives. This role requires strong technical leadership, exceptional people management skills, and a deep understanding of computer vision and machine learning.
Missions
- Lead and mentor a high-performing team of computer vision and machine learning engineers, fostering a culture of technical excellence and continuous learning.
- Drive technical strategy, execution, and organizational growth across computer vision initiatives, partnering closely with cross-functional teams.
- Define and execute the long-term vision, strategy, and roadmap for computer vision capabilities, ensuring alignment with company objectives.
Profil recherché
- Proven ability to build high-performing teams and drive execution through effective prioritization, delegation, and stakeholder management- 3+ years of experience leading and developing engineering teams
- Strong technical depth in computer vision, machine learning, system design, and software engineering
- Master’s degree or PhD in Computer Vision, Machine Learning, Artificial Intelligence, Robotics, or a related discipline preferred
- If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page
- Experience building, deploying, and operating ML systems in production, including edge AI environments and modern MLOps practices
- Experience driving technical strategy, architecture, and business outcomes across cross-functional teams
- 8+ years of experience in Computer Vision, Machine Learning, Artificial Intelligence, or related fields, with a proven track record of delivering production-grade systems
- Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field required