Eraneos Germany

AI Engineer

• Develop and operationalize AI models that deliver measurable impact for clients
• Collaborate with stakeholders to understand business problems and transform them into data-driven approaches
• Translate insights into production-ready end-to-end solutions
• Design, implement, and evaluate AI and ML use cases, from classical machine learning to LLMs
• Deploy and monitor AI and ML systems in real-world environments
• Build prototypes and apply MLOps practices
• Develop software and integrations ensuring reproducibility, scalability, and continuous improvement
• Communicate results clearly to technical and non-technical audiences
• Create lasting business impact for clients through AI solutions

Senior AI Engineer – All Genders

Data Analyst

• Develop modern analytics platforms by working with clients
• Design scalable data architectures and ensure sustainable data governance
• Support clients in modernizing data warehouses and data lakehouses
• Establish best practices for analytics engineering, data quality, automation, and DataOps
• Analyze business requirements and translate them into scalable data models and analytics solutions
• Bridge the gap between management, business units, and engineering teams
• Lead interdisciplinary teams in successful implementation of complex data and analytics projects
• Build long-term client relationships and identify new business opportunities
• Coach consultants and engineers, fostering their professional development
• Bring new market insights to the portfolio and actively shaping the Analytics Practice

Senior AI Engineer – All Genders

Senior Manager, Data Analytics