ML Engineer - Part-Time

ML Engineer – L3

Location: Singapore

Experience: 5–8 Years

Salary: Up to SGD 8K

Employment Type: Contract

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.