About the role
- Create and deploy production-ready machine learning models, life-cycle management
- Evaluate and assess model quality through metrics and experiments
- End-to-end responsibility for socio-demographic predictions, audience expansions and interest inference
- Writing production code with Spark and Scala and creating advanced pipelines with Luigi
- Working with git on github, various services on AWS, Jira and Confluence with an agile software development culture
About you
- Deep knowledge in Scala, Java or C++ and strong skills in either Python or Bash
- Expertise in using Spark, Hadoop, etc. for scalable data processing and machine learning
- Understanding and experience in various machine learning algorithms
- Experience in applying machine learning and deep learning for real-world applications
- In-depth understanding of concepts such as algorithms, networking and internet technology
- Able to communicate well in English and to thrive in a peer-driven engineering culture