ML Engineer – L3 (Only SPR / SC)
Location: Singapore
Experience: 5–8 Years
Salary: Up to SGD 9K
Employment Type: Permanent
Job Description
We are seeking an experienced ML Engineer to design and develop scalable real-time data and machine learning solutions using modern Hadoop ecosystem technologies. The ideal candidate should have expertise in data engineering, machine learning operationalization, and building frameworks for multi-modal data processing.
Key Responsibilities
- Design and develop highly scalable real-time systems using Hadoop ecosystem components such as Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink, and NiFi.
- Build robust ingestion and transformation frameworks using Java, Spark, Python, and Shell scripting for processing multi-modal data including images, audio, video, and unstructured documents.
- Develop full-stack applications and internal engineering tools using Python, Flask, React, and modern web technologies.
- Collaborate closely with Data Scientists to operationalize ML models using Cloudera Machine Learning (CML).
- Implement and optimize ML pipelines for batch and real-time processing.
- Perform performance tuning and optimization of Hadoop-based applications to ensure efficient resource utilization.
- Support deployment, monitoring, and maintenance of machine learning models in production environments.
Required Skills
- Strong hands-on experience with Hadoop ecosystem technologies including Spark, Kafka, Hive, Iceberg, Flink, NiFi, Trino, and Ozone.
- Strong programming skills in Python, Java, and Shell scripting.
- Experience with ML platforms such as Cloudera Machine Learning (CML), Spark MLlib, Scikit-learn, and XGBoost.
- Experience in developing scalable data ingestion and transformation frameworks.
- Knowledge of ML model deployment and operationalization.
- Experience in building full-stack applications using Flask and React.
