Lead Machine Learning Engineer (m/w/d)

Company:
Location: München

*** Mention DataYoshi when applying ***

Be part of two of AutoScout24 's teams that are shaping the company's ability to leverage data and technology resources to imp rove our customer experience. This role is uniquely positioned with Data Platform Engineering and Data Science team s to bring our understanding of data infrastructure together with machine learning capabilities. You will have the opportunity to build and refine the services at the foundation of our Data Landscape along with those that directly impact our customers .

We welcome big data enthusiasts who have experience with key customer data and are driven by the desire to deliver an optimal user experience . You are also comfortable in sharing your knowledge of data engineering and data science-based technologies with other teams to help ensure the adoption of priority projects and their ultimate success.

We are looking forward to your application!

The role:
Contribute to the design and oversight of our data landscape, emphasizing reliability and efficiency along with opportunities for real-time processing
Focus on integrating new solutions in into existing system architecture
D evelop resilient solutions to store, ingest, process and analyze high volumes of data from different sources

Collaborate on the delivery of data, and its transform ation , to efficiently contribute to company data models
Adopt a consulting and coaching mindset to best support data stakeholders in a dynamic, cross-functional environment
Collaborate with tech leads and engineering managers to align on architectural approaches in cross-functional settings
Take over end-to-end ownership for projects, from data processing, to training, evaluating, to deploying and monitoring
Understand business objectives and translate them into solutions that leverage data for machine learning along with KPI oversight

Monitor data quality and work on feature engineering
Automate data, model training and inference pipelines
Define validation and monitoring strategies for data and ML models

You are/have:
Several years (5+) of r elev a nt work experience
Business-proven hands-on experience in AWS or in a comparably robust cloud-based data platform
Knowledge of Big Data technolog y and best practices for application
Proficiency in Python , Scala, SQL and/or Java

Hands on experience building ETL pipelines
Solid experience in data modelling and resilient engineering
Experience with data science and ML libraries
First-hand experience in deploying , maintaining , and updating models in production is essential
You collaborate in diverse and visionary teams and set - tings

Strong communication skills
You are fluent in English, German is a plus
Data-driven mindset
Passion to share knowledge and onboard new team members

Nice to have:
Previous experience in large-scale projects with multiple stakeholder groups based on varying data sources and technology
Understanding of technologies used to collect and transform consumer data
Familiarity with complex software systems, microservice architectures, and real-time processing.
Practice in Clean Code, Test Driven Development or Pair Programming

We work with :
AWS services ( S3, Firehose, EMR, EC2, Glue, …)
B ig d ata technologies that include Hadoop, Spark, Presto, Hive and Kafka .
Tensorflow and other ML libraries
Google Analytics, Google B i gQuery and Google Tag Manager

At AutoScout24 we appreciate different lifestyles and cultural backgrounds. At AutoScout24 we welcome diversity as a strength. We know that mixed teams work more successfully. Our organisation is made up of more than 50 different nationalities, all working together inclusively and respectfully.

*** Mention DataYoshi when applying ***

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