全职 Machine Learning Engineer 工作, 薪水, Ampstek 公司招聘中 - Ricebowl

Job Title: ML Engineer

Contract psotion,

Location: Singapore - Hybrid

*** Client only consider SG Citizen OR PR only. ***

• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop full stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.
• Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit learn, XGBoost), including model deployment.
• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop full stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Mandatory skills

• • Hadoop ecosystem (Spark, Hive, Kafka, Flink, NiFi, Iceberg, Trino)
• • Java, Python, Spark (batch & real-time processing)
• • Data ingestion & transformation frameworks
• • Performance tuning on Hadoop platforms
• • Shell scripting
• • Real-time data processing systems
• • ML model operationalization (CML / Spark ML)