onsite
Data & AI Engineer - Kelvion Holding GmbH
AI Engineer
Lead end‑to‑end data and AI projects, building scalable pipelines and models on AWS, leveraging Python, SQL and Spark to deliver actionable insights and intelligent solutions.
About the role
Key Responsibilities
- Design, develop and maintain robust data pipelines and ETL processes using Python, SQL and Apache Spark.
- Build and deploy machine learning models on AWS services (SageMaker, Lambda, Glue) to solve business problems.
- Collaborate with data scientists and product teams to translate analytical requirements into production‑ready solutions.
- Ensure data quality, governance and security across all data assets.
- Monitor, troubleshoot and optimize performance of data workflows and AI models.
Requirements
- Strong programming skills in Python and experience with data engineering frameworks.
- Hands‑on experience with AWS cloud services and ML deployment.
- Proficiency in SQL and big data processing (Spark, Hive).
- Solid understanding of machine learning concepts and model lifecycle management.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
pythonmachine learningawssqlapache spark