
Machine Learning Platform Engineer - Feature Platform
- Madrid
- Permanente
- Tiempo completo
- Build and maintain our feature platform, responsible for feeding input data to machine learning models both at training and scoring time.
- You will be part of a diverse and inclusive team.
- You will be working in a cross-functional and cross-border team (part of the team is in Amsterdam) with roles like Data Engineering, Data Science and Product.
- We launch fast and iterate often. Concretely, this means that within your first few weeks, you will bring code live that impacts many businesses and shoppers.
- You will be fully responsible from its initial design to bringing new functionality live.
- Identify and improve parts of the platform to make it more robust and scalable.
- Collaborate across teams and time zones to make things happen, review code and be open to feedback.
- You have proven experience working with programming languages such as Python and JVM-based languages (e.g. Java, Kotlin, Scala), distributed systems, and large-scale databases (both relational and non-relational).
- Understanding of data pipelines and ETL processes for preparing and managing data for ML training and inference.
- Proficiency with observability tools, such as - Prometheus, Logsearch, Kibana and Grafana.
- You like taking ownership, leading projects and involving others, based on a solid understanding of the “why” behind it.
- You have great communication skills and the ability to articulate complex, technical concepts.
- We are an international team, so we need you to have full professional proficiency (written and verbal) in English.
- Familiarity with integrating Machine Learning into real-world systems is a plus.
- Previous experience working on platform teams or with open-sourcing internal projects would be a plus.
- Our Tech Stack - Cassandra, Kafka, Flink, Spark, Airflow, Python, Java, Gradle, PostgreSQL, and Elasticsearch.