Computer Vision and AI Engineer

In short

Scope: Deployment engineer to design, implement, evaluate and deploy production-ready CV/Deep Learning solutions for industrial applications (visual inspection, recognition, segmentation, tracking, video analytics)
Salary range: €50,000 – €70,000 gross/year (depending on experience)
Location: Turin
Work model: Hybrid
Stack: Python, scikit-learn, PyTorch, CI/CD, Azure/AWS, Edge/On‑prem constraints, GPU/CUDA real-time inference, VLM

About AI4I And Our Culture

The Italian Institute of Artificial Intelligence (AI4I) is headquartered in the standout location of OGR, Turin, with the unique mission to support both applied research and on-site deployment of AI. We are established to generate real-world impact at the intersection of science, technology, and industrial transformation.

Research units focus on topics such as secure and trustworthy AI, physical AI and multi-agent systems while the deployment unit is responsible for the implementation at client site. A dedicated high-performance computing center, including next-generation GPU systems such as NVIDIA B200 accelerators, is available to support both research and industrial deployment.

Our System User Knowledge platform and OGR-based network connect corporates, SMEs, startups, and scientific partners, fostering workshops and collaboration with external partners to remain at the forefront of innovation.

Role Summary

Within the Deployment Unit, we are looking for a Computer Vision and AI Engineer to develop production-ready AI solutions for industrial applications. This is a hands-on role for someone with strong coding skills, solid experience in Deep Learning and Computer Vision, and the ability to translate complex visual AI problems into reliable, scalable systems.

The role focuses on areas such as visual recognition, quality inspection, segmentation, and video analytics. The candidate will work across the full lifecycle: experimental design, model implementation, training, evaluation, optimization, deployment, and production support.

You Will Work Closely With

Deployment and Data Science team, delivering production-grade ML systems
Research units, to industrialize promising use cases emerging from applied research
Industrial partners, ensuring solutions meet real operational needs and performance targets

What You Will Do

Scope projects and their technical feasibility through client interaction
Design and develop computer vision and deep learning solutions for industrial applications such as anomaly detection, object recognition, segmentation, tracking, and large-scale video analytics.
Build robust AI pipelines for data preprocessing, annotation, model training, validation, inference, and monitoring.
Evaluate model performance using appropriate technical and business metrics, considering accuracy, latency, robustness, scalability, and deployment feasibility.
Develop high-quality software by leveraging AI tools and using sound engineering practices, including Git, testing, debugging, containerization, CI/CD, and deployment automation.

About You

Master’s degree in Computer Science, Engineering, Physics or related; PhD a plus.
Strong proficiency in Python and deep Learning (e.g., PyTorch).
Use agentic AI‑assisted coding workflows (e.g., Claude Code, Codex) daily to speed up development and fill knowledge gaps.
Hands-on experience with at least part of the following areas: object detection, image segmentation, object tracking, image/video classification, anomaly detection, or visual inspection applied to industries, logistics or robotics.
Experience working with large-scale image and/or video datasets and designing reproducible experimental setups.
Strong software engineering mindset and ability to support the full lifecycle from prototype to production deployment.
Experience with vision-language models (VLM), synthetic data or multi-stage model (detection, segmentation, 3D pose estimation) for robotics.
Expertise in one or more of the following cloud providers: Google Cloud Platform, AWS, Azure.
Proficiency in English.

Nice to Have

Experience deploying and optimizing real-time inference on GPU/CUDA, edge devices or cloud platforms.
Experience with industrial AI, quality control, logistics, robotics.
Broad software engineering background, including experience with at least one major programming language (e.g. Java, JavaScript, C/C++), NoSQL databases, distributed and cloud‑native systems.
Proficiency in Italian.

What We Offer

Competitive salary: €50,000 – €70,000 gross/year (total compensation)
Flexible hybrid work model
Access to our advanced computing infrastructure
A team with engineers and researchers working together on real industrial AI deployments
Chance to co-author papers for top-tier conferences like NeurIPS, ICML, CoRL, and RSS
Exposure and collaboration with a huge network of corporates, SMEs, startups and technology partners
An exceptional workplace @OGR, Turin at the epicenter of tech
Lots of learning opportunities: IAS, internal Academy, budget for events, conferences and online courses
Relocation incentives and competitive benefits package (including potential tax advantages for international candidates, where applicable)

Selection process

Fit interview
Technical live assessment
Final motivation interview

How To Apply

Submit your application exclusively through the online form including:

CV
Cover letter (max. 1 page) describing how your profile fits the position and personal projects, if any
Optional, links to code repositories (e.g., GitHub), personal webpage or projects (e.g., open-source contributions)
Optional, names of two references

To ensure a timely process, we will only be in touch with candidates who progress to the interview stage.

Computer Vision and AI Engineer

Key Skills

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