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 & operation • Setting up, operating, and optimizing productive workloads in the cloud • Developing and implementing scalable applications and platforms • Automating AI environments with CI/CD pipelines and infrastructure as code • Handover of developed solutions to operations and support during go-live • Quality assurance & best practices • Ensuring high quality standards for all solutions and projects • Definition and implementation of data, model, and MLOps patterns for training, evaluation, deployment, and operation • Application and further development of best practices in the areas of security, cost control, and performance • Close collaboration with colleagues and customer teams to implement requirements • Clear and effective communication of technical issues within the team and to stakeholders • Support in managing customer projects from conception to release • Occasional travel within Germany or Europe depending on the task and customer • Working with new technologies and services as well as established industry standards • Continuous training 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 customer teams • Extensive practical experience from successfully completed projects in the field of AI, cloud, or software development • In-depth knowledge of at least one public cloud (e.g., Microsoft Azure, AWS, or Google Cloud) • Experience with standard programming languages and methods (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, HuggingFace) and APIs • Experience with automating cloud and AI environments using CI/CD pipelines • Knowledge of data management, Databricks, MLOps, and data governance is an advantage • Passion for continuous learning and innovation

🏖️ Benefits

• Individual training budget and exam fees for certifications • Flexible working hours and remote working model • Company laptop and needed equipment • Local package such as 30 days holiday allowance, pension allowance, Qualitrain card, and many more