AI ENGINEER IN PRICING (m/f/d) at Schwarz · Sofia

Make an amazing climb in your career in an international team of experts. Our company provides technological services for the whole Schwarz group of more than 30 countries in Europe and the US. Our vision is to be the leading ecosystem for a better life. We built the European sovereign cloud STACKIT. With XM Cyber we set new standards in differing cyber crimes. We run AI better than anyone. With us you will find a variety of opportunities to grow and do your best at your calling – IT. We exist to improve life with our products and services - for today's generation and future generations. We act future proof!

The impact you will create:

• Design and build optimization algorithms and machine learning models to solve pricing problems
• 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

Experience and skills you will need:

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