We are exclusively recruiting for one of our partner companies, a specialized AI and data-driven solutions unit focused on designing and delivering scalable AI, data and automation platforms. They combine deep expertise in software engineering, data architecture and machine learning to turn complex business processes into intelligent, end-to-end solutions.
For their offices in Leverkusen, Cologne or Bangkok, they are currently looking for an AI Platform Engineer who can build and operate scalable AI platforms and MLOps infrastructure.
What you can expect
- End-to-end impact — work on projects from strategy to production and see your solutions live in global environments
- Cutting-edge technology — build modern AI, data and cloud solutions on state-of-the-art tech stacks
- Real responsibility — take ownership from day one in a fast-growing and entrepreneurial environment
- Challenging projects — work on complex, high-impact use cases across industries and international clients
- Learning and growth — continuous development through hands-on experience, knowledge sharing and mentoring
- Flexible working — hybrid setup with home office options and a strong focus on outcomes
- Collaborative culture — work with highly skilled experts in a no-nonsense, execution-driven team
- Attractive benefits — competitive compensation, free beverages and free parking
Your Role
You build and operate the foundation for scalable AI systems. From designing robust infrastructure to enabling efficient model deployment, you ensure that AI solutions run reliably and at scale in production environments.
You will:
- Build and maintain scalable AI platform infrastructure
- Implement and optimize MLOps pipelines
- Enable model deployment, monitoring and lifecycle management
- Manage vector databases and model runtime environments
- Optimize system performance, scalability and reliability
- Collaborate closely with AI engineers, data scientists and platform teams
Your Environment
Projects focus on building scalable AI solutions across different industries, where performance, reliability and real-world usability are key. The team relies on modern MLOps practices and AI platform architectures, cloud platforms such as AWS, Azure and GCP, containerization and orchestration technologies like Kubernetes, as well as CI/CD pipelines and automated deployment workflows.
What you bring
- Strong experience with MLOps and AI platform engineering
- Hands-on experience with Kubernetes and cloud environments
- Experience with CI/CD pipelines and automation
- Knowledge of model deployment and monitoring strategies
- Experience managing scalable infrastructure and distributed systems
- Structured, solution-oriented mindset with a focus on performance and reliability
Apply Now
If you are interested in this position, we look forward to your application. Please send your CV and cover letter to jobs@beyond-candidates.com, or use the application form below.