Expert Data Engineering / ML Engineer
Role details
Job location
Tech stack
Job description
- You build LLM-based agents and tool-using workflows for data analysis, forecasting, and decision making
- You architect, implement, and optimise robust data and ML pipelines as well as RAG applications following MLOps best practices
- You collaborate closely with Data Science and Business Intelligence teams to deliver self-service BI, predictive analytics, and machine learning solutions and support data engineers in building ingestion pipelines and maintaining the platform
- You continuously improve the stability, performance, and automation of the data platform
- You actively contribute to the evolution of the AI, ML, and MLOps system and software architecture
Requirements
- You have proven experience in developing, deploying, and operating scalable ML pipelines and AI solutions in production environments
- You bring a solid understanding of machine learning, Agentic AI/MCP, RAG and tool-using systems, as well as modern MLOps practices
- You have advanced Python programming skills and hands-on experience in ML, AI, or data engineering contexts
- You bring practical experience with cloud and data platforms, ideally AWS including SageMaker and Bedrock, as well as Snowflake, preferably Snowflake ML
- You are familiar with software engineering principles such as version control, CI/CD, and automated testing and bring a growth mindset with the ability to learn, adapt, and actively share knowledge
- You are fluent in English (German is a plus) and are available to join us in the office two days per week
Benefits & conditions
We want your ideas: We offer you an exciting platform to experience TV and digital and to help shape the future of home shopping!
We offer fair working conditions and exciting development opportunities.
Work-life balance
With us you can have the perfect work-life balance - from home office, to flexible working hours or sabbaticals.
Benefits & compensation
We offer much more than just an attractive salary - such as allowances or bonuses.
Corporate culture
Our corporate culture is based on trust and appreciation - we are a team.
Further education & training
In addition to extensive orientation training, we offer several further education and training courses.
+49 151 126 384 48