Machine Learning Engineer

SGX; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A financial services organization in Singapore seeks a Machine Learning Engineer to develop scalable data platforms and enhance AI/ML solutions. The ideal candidate will have a relevant degree and 2-4 years of experience in machine learning. Responsibilities include designing CI/CD pipelines, collaborating with data teams, and staying updated on industry improvements. This is a 2-year contract role with potential for extension.

Qualifications

• 2-4 years of experience in machine learning model development and deployment.
• Familiarity with machine learning platforms, LLM, Lang Chain.
• Excellent communication skills in English.

Responsibilities

• Design and build scalable data platforms for AI use cases.
• Develop and integrate data pipelines for machine learning services.
• Migrate existing data science projects to the cloud.

Skills

Machine Learning

Python

SQL

Data Analysis

Interpersonal Skills

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

GCP/Vertex AI

AI/ML Algorithms

Job description

Job Summary

SGX is looking for a Machine Learning Engineer who is passionate about building scalable data/machine learning platforms and pioneering solutions. As a Machine Learning Engineer, you will play a crucial role in transforming how we run and deploy AI/ML models. Your work will directly impact our ability to build and deliver AI/ML use cases that will augment our users in their work or enable business opportunities. By enhancing our machine learning platform, you will enable us to make data-driven decisions and drive innovation across the organization. This is a 2-year contract role with an option for extension.

Job Responsibilities

• Design and build scalable data platforms (including machine learning platforms) to support AI/GenAI use cases, streamline data storage, democratization, model deployment, and support feature engineering, model training, deployment, model monitoring and inference.
• Develop and integrate data pipelines for continuous development, integration, testing, and scalable machine learning services.
• Migrate existing data science projects to the new cloud machine learning platform.
• Collaborate with data scientists and data engineers to design, implement, and integrate data pipelines.
• Improve/automate existing model training, feature engineering, and evaluation pipelines, enabling the feedback loop of taking in labelled data from users/source systems for model re-training/tuning.
• Design and develop CI/CD pipeline, consistent logging, tracking, and monitoring of pipelines and model performance to ensure consistent model performance and alert mechanisms for model drift.
• Support data extraction and transformation for projects and users’ needs.
• Review, support, improve, and run the platform, including the existing data platform/machine learning server, and environment management.
• Provide support for data-related queries, extraction, and discrepancies.
• Stay abreast of and analyze industry developments to identify areas of continuous improvement.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 2-4 years of experience in setting up a machine learning platform, developing and deploying machine learning models and AI solutions.
• Familiarity with machine learning platforms, LLM, Lang Chain.
• Proficiency in Python, SQL, and modern AI/ML algorithms, with experience in deploying solutions into production. Experience with GCP/Vertex AI is a plus.
• Highly driven, proactive, and a strong team player. Excellent interpersonal, written, and verbal communication skills in English. Ability to multitask effectively and handle large amounts of data.

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