
Artificial Intelligence • B2B
<Perelyn> is a European AI consultancy and engineering firm that helps enterprises design, build and operate production-grade artificial intelligence systems. They specialize in generative AI and large language models (LLMs), Autonomous AI, GenVision and computer vision, signal processing, and AI operations (MLOps / LLMOps), with additional services around AI compliance, trustworthy AI and AI security. Perelyn works with large B2B clients across sectors such as energy, transportation and telecommunications to deliver proof-of-concepts, custom chatbots, anomaly detection and model evaluation frameworks.
11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
October 14
🗣️🇩🇪 German Required

Artificial Intelligence • B2B
<Perelyn> is a European AI consultancy and engineering firm that helps enterprises design, build and operate production-grade artificial intelligence systems. They specialize in generative AI and large language models (LLMs), Autonomous AI, GenVision and computer vision, signal processing, and AI operations (MLOps / LLMOps), with additional services around AI compliance, trustworthy AI and AI security. Perelyn works with large B2B clients across sectors such as energy, transportation and telecommunications to deliver proof-of-concepts, custom chatbots, anomaly detection and model evaluation frameworks.
11 - 50 employees
🤖 Artificial Intelligence
🤝 B2B
• Provide internal support for deploying and maintaining advanced projects, such as our healthcare initiative Adiu Health. • Act as a technical consultant for external clients, representing Perelyn's expertise and professionalism. • Develop your expertise in machine learning (ML), with a focus on MLOps. • Design, implement, and maintain scalable, secure, and highly available cloud architectures, primarily on Azure. • Collaborate closely with infrastructure, security, and product teams to deliver robust solutions. • Support application developers in deploying, operating, and scaling their applications effectively on cloud infrastructure. • Manage and continuously optimize Docker-based container environments.
• 6+ years of experience in DevOps, Cloud Engineering, or related fields. • Proven expertise managing container-based infrastructures with at least two reference projects. • Strong proficiency in at least one major public cloud provider (Azure preferred; AWS or GCP advantageous). • Extensive experience managing container environments (Docker and Kubernetes). • Familiarity with Terraform, Bicep, ARM templates, or equivalent Infrastructure as Code (IaC) technologies. • Practical experience developing and maintaining robust CI/CD pipelines. • Demonstrated commitment to continuously evolving your technical skill set. • Fluent German (C1) and English (C1) required.
• Professional development: Support for obtaining certifications, attending conferences, and advancing skills—particularly in the ML area. • Collaborative team: Join a supportive, dynamic environment dedicated to continuous improvement. • Competitive package: Attractive compensation and comprehensive employee benefits. • Flexibility & culture: Agile work environment emphasizing a healthy work–life balance, flexible hours, and the option to work remotely or from the office (Munich/Heidelberg).
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