
Lidl Digital ist der digitale Onlinekern von Lidl. Wir sind Systemgeber für Lidl Onlineshops in bisher sieben Ländern und bieten weitere Services über ganz Europa hinweg an. Wir entwickeln unsere Angebote stetig weiter, um das stationäre Geschäft optimal mit dem Onlinehandel zu verknüpfen.
Ein wichtiger Baustein unseres innovativen Omni-Kanalansatzes ist dabei das Kundenvorteilsprogramm Lidl Plus. Spannende Angebote wie beispielsweise Reisen, Fotos, Handytarife und Ökostrom vervollständigen unsere umfangreiche Produkt- und Servicepalette. Unsere Leistungen betten wir in ein ansprechendes Online-Erlebnis ein.
Ein wichtiger Baustein unseres innovativen Omni-Kanalansatzes ist dabei das Kundenvorteilsprogramm Lidl Plus. Spannende Angebote wie beispielsweise Reisen, Fotos, Handytarife und Ökostrom vervollständigen unsere umfangreiche Produkt- und Servicepalette. Unsere Leistungen betten wir in ein ansprechendes Online-Erlebnis ein.
Tasks
As ML Ops Engineer (m/f/d) at Lidl Digital you
- are part of the forecasting team and member of a growing data community covering the entire range of e-commerce topics in data science
- help to design and develop the architectures of our forecasting solutions
- develop and own scalable solutions for data science and ML pipelines
- support data scientists and -engineers in deploying their applications
- orchestrate cloud resources for high automation of forecasting tasks
- are responsible for setting up structures which are fast, transparency and robust
- define and construct approaches for state-of-the-art ML model life cycling
- constantly learn from and contribute to our community
- work in an agile and interdisciplinary team to support our mission to bring data benefits of the company to a new level
Skills
- Graduate degree in computer science, software engineering, data science or related
- At least three years of experience in ML engineering, analytics, data science, software engineering or related
- Experience in deploying and running data science pipelines in cloud environments (preferably MS Azure)
- Good understanding of modern machine learning approaches
- Knowledge in the following tools for automation and deployment: Azure Cloud, Databricks, MLFlow, Airflow, Git, Azure DevOps, (Py)Spark, Artifactory, Terraform
- Proficiency in Python and relevant modules is required
- You are capable of quickly understanding needs of data scientists and know how to translate these into technical solutions
- You present results targeted to your audience and have first experience in communicating with higher management
- Fluency in English is required, German language skills are an advantage
Our offer
- Personal and professional development: Tailored opportunities for personal and professional development
- Security: A secure job with a dynamic company
- The opportunity to effect change: Bring your own ideas to the table and implement them
- Team: Be part of a motivated team and achieve great things together
- Our employees are important to us: We’ll give you a permanent contract as soon as you join
ML Engineer (Cloud) (m/f/d)
Analytics
Berlin oder Neckarsulm
Vollzeit
4_VI