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.
