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Machine Learning Engineer

SpringCube

Full time - Senior Engineer

IT Services & Consulting

Singapore, All Areas

Published 3 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global technology and consulting organization is seeking a Machine Learning Engineer to drive intelligent, data-driven solutions for enterprise and digital products. The company focuses on transforming organizations and communities worldwide through innovative technology, analytics, and consulting services.

About the Role
The Machine Learning Engineer will design, build, deploy, and maintain machine learning models that power digital products and analytics capabilities. This role collaborates with data scientists, engineers, and product teams to translate business requirements into scalable ML solutions with measurable impact.

Responsibilities

  • Design, develop, and operationalize machine learning models for digital product features and analytics
  • Build and maintain end-to-end ML pipelines, including data preparation, model training, validation, and deployment
  • Develop and expose inference services via APIs for real-time and batch use cases
  • Implement model monitoring, performance evaluation, and lifecycle management practices
  • Optimize models and pipelines for scalability, reliability, and efficiency in production
  • Collaborate with cross-functional teams to translate business requirements into ML solutions
  • Maintain clear documentation for model design, processes, and deployment workflow

Qualifications

Required Qualifications

  • Strong programming skills in Python for model development and data processing
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience deploying models into production using APIs or containerized services
  • Familiarity with building data pipelines for feature engineering and model training
  • Understanding of MLOps practices, including CI/CD, monitoring, and automated workflows
  • Experience working with cloud platforms and distributed computing tools
  • Strong analytical and problem-solving skills with attention to detail

Preferred Qualifications

  • Experience with ML model monitoring tools and model drift detection
  • Knowledge of data versioning tools (e.g., DVC, MLflow)
  • Familiarity with microservices and container orchestration (e.g., Docker, Kubernetes)
  • Exposure to real-world ML deployment challenges and optimizations

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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