Data Scientist, Operations & Technology

at  Singapore Exchange

Entity: Singapore Exchange
Location:Singapore, SG
Job Function: Operations & Technology
Job Type: Contract (Project IO)
Req ID: 2595

JOB SUMMARY

We are 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 in building and delivering 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.

JOB REQUIREMENTS

Job Requirements include:

• Education: Bachelor’s or master’s degree in Computer Science / Artificial Intelligence, Machine Learning, or a related field.
• Experience: 2 to 4+ years of experience in setting up Machine Learning platform, developing and deploying machine learning models and AI solutions.
• Technical Skills: Familiar with Machine Learning platform, LLM, Lang Chain, proficiency in Python, SQL, and modern ML/AI algorithms, with experience in deploying solutions into production. Experience with GCP/Vertex AI is a plus.
• Soft Skills: 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.
• This is a 2-year contract role, with option for extension.

Job Segment: Operations Manager, Computer Science, Database, SQL, Operations, Technology

Your Key Responsibilities will include:

• 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 analyse industry developments to identify areas of continuous improvement.
• Provide technical coaching and guidance to junior team members.