ML Engineer
1 month ago
Responsibilities:
- Design, build, and maintain data pipelines using Java, Spring Boot and Scala to handle large-scale data processing.
- Develop and manage data pipeline processes with Spark and Airflow to ensure efficient data movement and transformation.
- Utilize Kafka for real-time data streaming and integration across various systems.
- Work with distributed systems to ensure scalability and reliability in data processing and storage.
- Collaborate with data scientists and product teams to understand data requirements and create documentation for data architecture and processes.
Requirements:
- Machine Learning Engineer with experience in the following tech stack: Java, Scala, Spring Boot, Kafka, Spark, Airflow, and Distributed Systems.
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