ML Engineer

Technopals Pte.; Carlisle; On-site; GBP 89,000 - 124,000; Full time

Job summary

Technopals Pte.Ltd. is seeking a data engineering professional to design and build scalable real-time data systems on the Hadoop ecosystem, collaborating with data scientists to operationalize ML models using CML.

The role spans data ingestion, transformation, and full-stack tooling with Java, Spark, Python, Flask, and React, emphasizing performance tuning and efficient resource use across batch and streaming workloads.

Qualifications

• Experience building scalable real-time data systems on Hadoop stack.
• Expertise with ML platforms and Python ML libraries (scikit-learn, XGBoost).
• Strong data ingestion and transformation framework development skills.
• Proficiency in full-stack development using Python and modern web frameworks.
• Ability to collaborate with data scientists to operationalize ML models.
• Experience with performance tuning of Hadoop-based data applications.

Responsibilities

• Design and develop highly scalable Real-time systems with Hadoop ecosystem.
• Ingest and transform multi-model data (image, audio, video, documents) using Java, Spark, Python.
• Develop full-stack applications and tools using Python, shell, Flask/React.
• Collaborate with data scientists to operationalize ML models using CML.
• Tune performance of Hadoop-based data applications for optimal resource use.

Skills

ML platforms

Hadoop ecosystem

Data ingestion frameworks

Full-stack Python/JS

Cloudera Machine Learning

Performance tuning on Hadoop

Tools

Java

Python

Spark

Shell scripting

Flask

React

CML

Kafka

Flink

Nifi

Job description

Raffles, Singapore | Posted on 04/06/2026

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

Technopals Pte.Ltd. is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.