Senior ML Data Engineer (f/m/d)

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics. At least 5 years experience as AI/ML data engineer. Strong foundation in computer science principles and statistical methods. Strong experience with cloud technology (AWS or Azure). Strong experience with creation of data ingestion pipeline and ET process. Strong knowledge of big data tools such as Spark, Databricks and Python. Strong understanding of common machine learning techniques and frameworks (e.g. mlflow). Strong knowledge of Natural language processing (NPL) concepts. Strong knowledge of scrum practices and agile mindset.

Design and maintain scalable data pipelines and storage systems for agentic and traditional ML workloads. Productionise LLM- and agent-based workflows. Build and maintain feature stores, vector/embedding stores, and core data assets for ML. Develop and manage end-to-end traditional ML pipelines. Implement data quality checks, drift detection, and automated retraining processes. Optimise cost, latency, and performance across all AI/ML infrastructure. Collaborate with data scientists and engineers to deliver production-ready ML and AI systems. Ensure AI/ML systems meet governance, security, and compliance requirements. Mentor teams and drive innovation. Participate in team meetings and contribute to project planning.