Staff Software Engineer (MLE-Backend)
- תל אביב
- משרה קבועה
- משרה מלאה
- System Design and Architecture: Develop and maintain robust, scalable, and efficient distributed systems and data pipelines to help build the new generation of ironSource's ML feature platform.
- Research and Innovation: Stay current with the latest advancements in machine learning data pipelines, feature stores, and apply innovative techniques to improve data aggregations, monitoring, cleaning & filtering and preparing for ML training.
- Cross-Functional Collaboration: Work closely with data scientists, software engineers and product managers to build the data lakes and data pipelines.
- Proficiency in programming languages such as Scala/Java.
- Hands on experience in streaming technologies (Kafka, Kinesis, SQS).
- Expert in big data processing frameworks such as Apache Spark, Trino, Flink.
- Data Lake management knowledge: table formats (Iceberg, Delta). Data-warehouses (Redshift, Big Query, Snowflake)
- MLOps systems - Model registry, Experiment Tracking (MLFlow, W&B), Feature Store management (Feast, Tecton), Workflow management (Kubeflow, Airflow)..
- Knowledge of microservices architecture and event-driven design.
- experience with ML frameworks such as TensorFlow, PyTorch.
- experience with high scale distributed systems.
- Proficiency with cloud platforms such as AWS, and experience with containerization technologies like Docker and Kubernetes.
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
Mploy