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We are looking for a highly skilled AI Engineer to join an advanced R&D environment within the security sector.
Responsibilities:
Develop advanced Python-based systems and integrate a variety of AI models into software solutions.
Implement and deploy AI models in On-Premise environments, including full integration within existing systems.
Work closely with a multidisciplinary team in a dynamic, innovative technological environment.

Join the group that builds the foundation of our companys perception stack. We are looking for a key member to join our Visual GenAI team, dedicated to advancing state-of-the-art research in visual synthesis and Diffusion Models within a high-impact, real-world AV environment.
You will work on cutting-edge AI research in a real-world environment, backed by massive proprietary datasets and large-scale computing infrastructure. Team up with researchers and engineers from various fields to develop GenAI solutions and develop technology with the potential to impact millions of people and save lives
What will your job look like:
Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.

we are looking for an experienced DevOps Engineer with an ability to deliver, implement and design complex solutions to join a cutting-edge technology team!
We are seeking a highly skilled DevOps professional with strong hands-on experience and a proven track record of building DevOps infrastructures from the ground up.
This role combines technical leadership with hands-on execution and offers the opportunity to drive the design and implementation of modern DevOps practices in complex environments.
🚀Join us and take part in building advanced DevOps platforms, modrn cloud infrastructures, and innovative technology solutions in a dynamic and challenging environment.
Responsibilities:
✔ Lead the design and implementation of DevOps infrastructure from scratch, including automation frameworks and deployment pipelines.
✔ Build, maintain, and optimize scalable CI/CD processes for microservices-based architectures.
✔ Design and manage cloud-native and hybrid infrastructures, with a strong focus on AWS environments.
✔ Deploy and operate containerized applications using Docker and Kubernetes.
✔ Work closely with Development, QA, and Security teams to deliver reliable and efficient solutions.
✔ Implement monitoring, logging, and observability solutions to ensure system reliability and performance.
✔ Support production environments, troubleshoot issues, and continuously improve operational processes.
✔ Drive best practices around automation, scalability, security, and infrastructure management.

were growing our Hybrid Cloud Group and looking for a hands-on DevOps Team Leader to join our team.
The Hybrid Cloud Group is leading projects, consulting customers (Enterprise companies, the defense sector and more), and providing solutions for complex scenarios.
This is a unique opportunity for someone who combines deep technical expertise with leadership capabilities and enjoys solving complex infrastructure challenges across cloud and on-prem environments.
If AWS architecture, Automation, GenAI, Kubernetes, GitOps, Security and modern platform engineering are part of your DNA - keep reading.
If youre looking for a role where you can lead, architect, innovate, and make real impact in complex cloud environments - wed love to talk.
What Youll Do:
Lead and mentor a small team of DevOps engineers
Design and implement advanced CI/CD pipelines and automation workflows
Work primarily with AWS, and On-Prem environments
Architect and Design scalable, production-grade, secure, high-availability microservices architectures
Operate within complex multi-account AWS environments
Implement cloud security best practices across infrastructure and CI/CD pipelines
Work on strategic and mission-critical projects in both air-gaped and secured environments
Explore and integrate Agents, GenAI, and AI-driven infrastructure workflows