AI Engineer in Forecasting

Responsibilities

• Design and build optimization algorithms and machine learning models to generate demand forecasts to improve the supply chain
• Bring analytical applications from concept to production, ensuring high quality
• Maintain and enhance AI-driven products that directly influence business operations
• Develop and upkeep software tools and frameworks for deploying and monitoring AI models in production
• Work with Product Owners, Data Scientists, and Data Engineers to integrate AI solutions into current systems and workflows
• Clearly explain complex technical concepts and findings to both technical and non-technical audiences

Requirements

• Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• Proficiency in Python, with a strong emphasis on writing clean, efficient, and maintainable production-ready code
• Demonstrated experience with distributed computing frameworks such as Kubernetes or Apache Spark
• Practical knowledge in the design and implementation of cloud native applications and cloud computing experience with at least one hyperscaler (e.g., GCP, Azure)
• Solid understanding of software engineering best practices, including version control (e.g., Git), testing, and CI/CD pipelines

Preferred Qualifications

• Proven ability to design, develop, and deploy robust AI/ML models and systems in a production environment
• Familiarity with fundamental AI and machine learning concepts, including supervised and unsupervised learning, optimisation algorithms, and deep learning

About the Company

Schwarz Digits provides technological services for the entire Schwarz Group, spanning more than 30 countries in Europe and the US. We build the European sovereign cloud STACKIT, set new standards in cyber security with XM Cyber, and lead the way in AI innovation to improve life through our digital products and services.