Job Description

Working Hours: Monday – Thursday (8.30am – 6pm), Friday (8.30am – 5.30pm) (Hybrid working arrangement)

Working Location: Central

Salary Package: Up to $10k

We are seeking a Machine Learning Engineer with strong expertise in applied machine learning, data science, and software engineering. The successful candidate will design, build, and deploy scalable ML models to power intelligent data-driven products and solutions. This role requires a combination of hands-on technical proficiency, problem-solving ability, and collaboration with cross-functional teams to deliver impactful and production-ready machine learning systems.

Responsibilities:

• Design, train, and evaluate machine learning models for diverse use cases such as prediction, classification, and generation.
• Conduct experiments to assess model performance and identify opportunities for improvement.
• Tune hyperparameters, refine architectures, and propose new modeling strategies to enhance model accuracy, scalability, and robustness.
• Collaborate with software engineers and product teams to build ML-driven product features such as recommendation engines, anomaly detection, or data analytics components.
• Develop and optimize data preprocessing pipelines and implement effective feature engineering strategies.
• Diagnose and troubleshoot issues related to model training, deployment, or data quality.
• Work closely with engineers to resolve integration challenges and ensure reliable model performance in production environments.
• Document model architectures, parameters, and evaluation metrics for internal and user-facing reference.
• Communicate complex ML concepts in a clear and accessible way to both technical and non-technical audiences.
• Work closely with software engineers to integrate ML models into production systems using APIs or microservices.

Requirements:

• Bachelor’s degree or higher in Computer Science, Data Science, Artificial Intelligence, Statistics, or related fields.
  At least 2–3 years of hands-on experience in applied machine learning, model development, or data science.
• Proficiency in Python and strong knowledge of ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

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Wong Siew Ting (Maeve) - R25127375

ScienTec Consulting Pte Ltd - 11C5781