AI Engineer

November 6

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Nordcloud, an IBM Company

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Cloud Services • Artificial Intelligence • Fintech

Nordcloud is a comprehensive cloud services provider that specializes in cloud strategy, transformation, and training across multiple platforms including AWS, Microsoft Azure, and Google Cloud. With a focus on managed services, application modernization, and artificial intelligence solutions, Nordcloud empowers enterprises to navigate their cloud journeys efficiently while maximizing security, compliance, and innovation. The company prides itself on having a team of certified cloud-native experts who guide organizations in optimizing cloud costs and deploying cutting-edge technologies effectively.

501 - 1000 employees

Founded 2011

🤖 Artificial Intelligence

💳 Fintech

📋 Description

• Technical implementation and operations • Design, operation and optimization of production workloads in the cloud • Development and implementation of scalable applications and platforms • Automation of AI environments using CI/CD pipelines and Infrastructure as Code • Handover of developed solutions to operations and support during go-live • Ensuring a high standard of quality across all solutions and projects • Definition and implementation of data, model and MLOps patterns for training, evaluation, deployment and operations • Close collaboration with colleagues and client teams to implement requirements • Clear and effective communication of technical matters within the team and to stakeholders • Support for client projects from concept through release • Occasional travel within Germany or Europe depending on the assignment and client • Working with new technologies and services as well as established industry standards • Continuous learning and knowledge sharing within the team

🎯 Requirements

• Excellent communication skills in German and English • Ability to work in a team and willingness to collaborate closely with colleagues and client teams • Extensive hands-on experience from successfully completed projects in AI, cloud or software development • Solid knowledge of at least one public cloud (e.g., Microsoft Azure, AWS or Google Cloud) • Experience with common programming languages and tools (e.g., Python, C#, Java, PowerShell) • Knowledge and practical experience with DevOps/DevSecOps, platform engineering and Infrastructure-as-Code (e.g., Terraform, Bicep) • Experience with container technologies (e.g., Docker, Kubernetes, OpenShift) • Familiarity with modern ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face) and APIs • Experience automating cloud and AI environments using CI/CD pipelines • Knowledge in data management, Databricks, MLOps and data governance is an advantage • Passion for continuous learning and innovation

🏖️ Benefits

• Individual training budget and coverage of exam fees for partner certifications • Flexible working hours and a remote work model • Laptop and equipment • Local benefits package, such as 30 days' vacation, pension contribution, Qualitrain sports membership and much more