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Machine Learning Platform Engineer
1 year ago
Description
We are looking for a Machine Learning Platform Engineer to work with complex Machine Learning Infrastructure!
If you are interested in working with talented and passionate teammates and becoming a driving force for the evolution of Machine Learning systems, then Playtika Lausanne will be the right fit for you.
You will work with many exciting technologies like Spark, Spring Boot, Kafka, S3/Alluxio, Aerospike/Redis, Docker/Kubernetes, Vertica/SingleStore and different DS frameworks (Pandas, PyTorch etc.) to name a few.
Responsibilities
- Be part of the global team building Machine Leraning Platform (Feature Store, Experimental Platform, Model Registry, ML Pipelines Engine and more) to support gaming tenants.
- Design, build and deploy scalable and reliable Machine Leraning Platform to be extensively and easily used by internal projects.
- Develop internal products, frameworks and infrastructures.
- Promote best practices coding, code complete standards, and design patterns.
Requirements
- Passion for data engineering, quality, automation and efficiency, self-starter, loves challenges, independent and a tech savvy;
- Proficient in Java/Scala/Python (better any 2) with +3 years of experience in writing Micro-services, BigData batch/streaming processing (Spark or other) or Enterprise applications.
- Experience with Databases/storages (SQL, NoSQL, Columnar, InMemory and others)
- Experience with containerization (Docker) and container orchestration (Kubernetes)
- Experience with current SW development best practices (Scrum, Unit tests, Source control, CI/CD etc.).
- English (both spoken & written).
- Must be a quick and capable learner.
Advantages For:
- Ability to freely develop on any of Java/Scala/Python (all 3)
- Knowledge in advanced BigData topics, micro-services design and distributed computing.
- Knowledge in K8s, Docker, DeltaLake/Iceberg, ServiceMesh, Aerospike/Redis, AirFlow, SingleStore
- Familiarity with Data Science domain and algorithms.
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