Expert Data Engineering / ML Engineer (m/f/d)
Expert Data Engineering / ML Engineer (m/f/d)
Expert Data Engineering / ML Engineer (m/f/d)
Expert Data Engineering / ML Engineer (m/f/d)
Home Shopping Europe GmbH
Konsumgüter, Handel
Ismaning
- Art der Beschäftigung: Vollzeit
- 65.000 € – 86.000 € (von XING geschätzt)
- Hybrid
- Aktiv auf der Suche
Expert Data Engineering / ML Engineer (m/f/d)
Über diesen Job
Expert Data Engineering / ML Engineer (m/f/d)
Our digital teams are very diverse: We take care of things like programming, product development, product design (UX/UI), and web analysis. Everyone is pursuing a common goal: to create digital contact points between HSE and customers again and again with the latest technologies. Are you in?
HSE is a leading provider in the field of live commerce in Europe. The customers decide when and where they shop at HSE – whether through one of the three TV channels, the online shop, the award-winning HSE app or via social commerce. HSE represents the most entertaining form of shopping, inspiring 1.3 million active customers who value HSE’s curated product range from the areas of fashion, jewellery, beauty, wellness, household and home and living.
The company reaches about 46 million households in the DACH region through its three TV channels (HSE, HSE Extra and HSE Trend).
In the financial year 2023, HSE generated revenue of 624 million euros in the DACH region. 800 employees ensure a shopping experience that is both entertaining and customer oriented. Added to this are around 1,800 external jobs at logistics, call centre and tech development partners. The company has received multiple awards for its outstanding quality of service. HSE has been majority-owned by the investment firm Providence Equity Partners since 2012. Further information is available at corporate.hse.com and www.hse.com .
What you can expect:
- 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
These are your benefits
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
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