ML Engineering Specialist

3 weeks ago


Singapore United Overseas Bank Full time
About the Role

We are seeking a skilled MLOps Engineer to join our team at United Overseas Bank. The successful candidate will be responsible for productionalizing machine learning models, ensuring compliance with platform governance principles, and collaborating with data scientists to improve model performance.

Key Responsibilities
  • Review ML models for compliance with platform governance principles, including versioning, data/model lineage, and code best practices.
  • Develop pipelines for continuous operation, feedback, and monitoring of ML models, leveraging best practices from the CI/CD vertical within the MLOps domain.
  • Optimize AI development environments (development, testing, production) for usability, reliability, and performance.
  • Collaborate with infrastructure and application development teams to integrate ML models into enterprise applications.
  • Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective.
Requirements
  • Proficiency in Python for ML and automation tasks.
  • Good knowledge of Bash and Unix/Linux command-line toolkit.
  • Hands-on experience building CI/CD pipelines orchestration using GitLab CI, GitHub Actions, Airflow, or similar tools.
  • Knowledge of Kubernetes.
  • Knowledge in the operationalization of Data Science projects (MLOps) using popular frameworks or platforms.
  • Good understanding of ML libraries such as Pandas, NumPy, TensorFlow, etc.
Benefits

The successful candidate will receive a competitive salary of SGD 120,000 - 180,000 per annum, commensurate with experience. Additionally, they will enjoy a comprehensive benefits package, including medical insurance, retirement plan, and paid time off.


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