Senior Machine Learning Engineer

Build production-grade AI systems that power real-world business decisions.

Our client is building a world-class AI and data platform and is looking for a Senior Machine Learning Engineer to play a pivotal role in designing and operating large-scale machine learning pipelines that transform complex data into trusted business intelligence.

This is an opportunity to join a high-performing team where you'll own the entire ML production lifecycle—from raw data ingestion and feature engineering through to model deployment, monitoring and production-ready datasets.

As a Senior Machine Learning Engineer, you'll be responsible for building and operating production-grade ML systems that deliver high-quality, trusted data products.

You’ll:

• Design, build and own end-to-end automated data and machine learning pipelines
• Develop scalable feature engineering and ETL frameworks
• Build training and inference pipelines that transform engineered features into production-ready outputs
• Implement robust data quality frameworks, validation checks and governance processes
• Design model monitoring, drift detection and inference monitoring to ensure reliable production performance
• Optimise orchestration, scalability and cost across cloud-based data platforms
• Collaborate closely with Data Scientists, AI Engineers and Software Engineers to deliver AI-powered products
• Drive engineering best practices around automation, reliability and operational excellence

Requirements:

• 6-9 years' experience building production machine learning and/or data engineering pipelines
• Strong expertise in Python and Apache Spark
• Hands-on experience with orchestration platforms such as Airflow or Databricks Workflows
• Experience with feature engineering, ETL development and modern cloud data platforms
• Practical experience using machine learning frameworks such as scikit-learn or XGBoost
• Strong understanding of production ML operations, model monitoring and drift detection
• Experience implementing data quality frameworks and automated validation
• Bachelor's degree in Computer Science, Engineering or a related discipline

Highly Desirable

• Azure and Databricks experience
• Experience working in highly regulated or data-intensive industries

What's On Offer

• Opportunity to work on cutting-edge AI and machine learning platforms
• Base salary between 10K - 13K per month plus bonus
• Greenfield engineering challenges with significant ownership
• Collaborative team of experienced AI, Data and Engineering professionals
• Exposure to modern cloud technologies and large-scale production systems
• Competitive salary and benefits package
• Singapore-based role with flexible working arrangements

Equal Opportunity Statement

TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.