Company Description

Since 2019 ADFERENCE is a subsidiary of the fashion-tech company ABOUT YOU. We are a fast-growing, innovative tech company that provides an online marketing solution for Amazon. Our tool helps large agencies and brands like Snocks, Spreadshirt and Lampenwelt to optimize their Amazon Advertising.

Job Description

You're up for further developing and innovating our product's ML-functionalities? Then join our cross-functional team as (Senior) Machine Learning Engineer! In your role you are focusing on your practical application of your engineering skills. Together with your squad, you have one goal in mind: driving value for our customers.

WHAT YOU WILL DO

• You will design and improve ML-solutions and integrate them into our data platform supported by Airflow and Snowflake
• You will collaborate with your squad to translate business needs into robust ML-features
• You will lead ML-projects from conception to deployment
• You will emphasize constant system reliability and performance
• You will use workflow-orchestration tools to streamline data processes for ML-applications

WHO YOU ARE

• You have demonstrable experience in ML-engineering with a solid project portfolio
• You have a very good understanding of software architecture, deployment pipelines and iterative development with end-to-end ownership
• You have strong experience with Python, SQL and Git
• You are familiar with ML-libraries and frameworks and ideally with MLOps tools like SageMaker, Databricks or comparable solutions
• You impress with your communication skills and your effective way of working within a collaborative environment
• You have fluent spoken and written English skills

WHAT WE OFFER

• As part of our dedicated team, we offer you the opportunity to contribute to the development of our company
• An exciting work environment in a dynamic and future-proof industry
• Fair, collegial and open interaction in the entire team
• Responsibility at work, flat hierarchies and an open feedback culture
• Modern working structure, e.g. remote work and flexible working hours

Benefits:

• Annual development budget in the amount of 750€, which you can use for further education and training
• Free days for further education and social engagement
• Monthly childcare subsidy
• 40% discount in the ABOUT YOU Online Shop
• Company pension plan
• Company bike leasing
• Regular team and company events

That exactly describes you? Then we look forward to receiving your digital application, stating the earliest possible starting date, your salary expectations and, if applicable, insights into your previous work.

Qualifications