Head of AI & Computer Vision (Madrid)

Head of AI & Computer Vision (Madrid)

20 oct
|
Mettis AI
|
Madrid

20 oct

Mettis AI

Madrid

About Mettis AI

Mettis AI is a European deep-tech company transforming how driving behaviour is evaluated and understood.

Using proprietary computer vision and machine-learning technology, our platform objectively analyses real-world driving behaviour to improve road safety, driver training and risk management.

Our technology combines in-vehicle cameras, edge AI, cloud infrastructure and intelligent software to deliver actionable insights. With patented technology, institutional investor backing and a commercially deployed product, we are expanding across Europe and preparing to enter the US market.

Our customers and partners span driving schools, professional fleets, mobility operators and other industries where understanding human behaviour behind the wheel is critical.

We are now entering our next stage of growth and are looking for an exceptional technical leader to take full ownership of our AI and engineering capabilities.

The opportunity

We are looking for a Head of AI & Computer Vision with the technical depth of an outstanding software engineer, the product mindset of a founder and the leadership skills to build a world-class engineering organisation.

This is not a purely managerial role.

We want somebody who genuinely loves engineering, remains deeply involved in the code and takes personal responsibility for translating ambitious technology into reliable products used by paying customers.

You will own the evolution of our technical platform, from computer-vision models and edge inference to cloud infrastructure, backend services, applications and analytics.

You will initially lead a lean engineering team, contribute directly to development and progressively build the organisation required to support international expansion.

What you will own

AI and Computer Vision

- Design, develop and improve deep-learning models for driver-behaviour analysis, object detection, tracking, pose estimation and video understanding
- Develop and optimise inference pipelines for edge and cloud environments
- Establish robust model evaluation, testing, monitoring and continuous improvement processes
- Improve model accuracy, performance, reliability and computational efficiency

Software Engineering and Architecture





- Take end-to-end ownership of our technical architecture, engineering roadmap and delivery
- Build, review, debug and deploy production code personally
- Lead the integration of edge devices, cloud services, backend systems, mobile applications and customer dashboards
- Ensure scalability, maintainability, security and operational reliability
- Establish CI/CD, automated testing, observability and appropriate MLOps practices

Leadership and Execution

- Lead, mentor and grow a high-performing engineering team
- Set clear priorities, measurable milestones and reliable delivery commitments
- Introduce effective engineering processes without unnecessary bureaucracy
- Take accountability for technical decisions, quality and delivery
- Work closely with the founders to translate customer needs and business priorities into engineering outcomes

Technology Strategy

- Help shape the long-term product and technology strategy
- Contribute to intellectual property development and technical differentiation
- Support technical discussions with enterprise customers, strategic partners and investors
- Build a technology organisation capable of scaling internationally

What we're looking for

Essential

- 7+ years of professional software engineering experience, including substantial hands-on experience with AI and computer vision
- Proven experience delivering real production software, not just research prototypes or proofs of concept
- Excellent Python programming skills and a strong understanding of software architecture
- Production experience with computer vision, deep learning and video-processing pipelines
- Strong knowledge of frameworks such as PyTorch, TensorFlow and OpenCV
- Practical experience deploying and optimising ML models on edge hardware, GPUs or constrained environments
- Understanding of cloud systems, backend development, APIs, deployment and MLOps




- Experience leading engineers and delivering complex technical projects
- A track record of building, improving and maintaining products used by real customers
- Strong communication skills

Highly valued

- Experience with NVIDIA Jetson, CUDA, TensorRT and ONNX
- Experience with real-time video analytics, temporal action recognition or human-behaviour analysis
- Background in automotive, ADAS, robotics, mobility, telematics or safety technology
- Experience in early-stage or scaling technology companies
- Previous experience as a technical founder, CTO, Head of Engineering or Lead Engineer

The commitment We are looking for someone who wants to make Mettis AI their primary long-term professional mission.

This is a full-time, exclusive position, requiring complete professional dedication to Mettis AI, with no simultaneous operational roles or consulting commitments in other companies.

We value ownership, direct contribution, intellectual honesty, accountability and the ability to deliver.

What we offer

- A leadership position with genuine end-to-end technical ownership
- Meaningful equity participation, structured around long-term commitment and value creation
- Competitive salary, based on experience and agreed responsibilities
- The opportunity to build and lead a high-calibre engineering team
- Direct collaboration with an experienced founding team
- A commercially deployed technology platform with significant growth potential
- International ambitions, including expansion into the United States
- A mission with tangible real-world impact: making roads safer through objective, data-driven intelligence

How to apply

Please share your LinkedIn profile, CV and, ideally, examples of software or AI systems you have personally built or significantly contributed to.

We are especially interested in hearing about:

- The most technically challenging production system you have personally built.
- A product you helped take from prototype to commercial deployment.
- The engineering team you have built, managed or helped grow.

GitHub repositories, technical portfolios or other evidence of hands-on engineering work are very welcome.

📌 Head of AI & Computer Vision (Madrid)
🏢 Mettis AI
📍 Madrid

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