So Mlops Integration Engineer, Gmet

United Overseas Bank

Python programming skills
Docker and kubernetes containerization
Aws azure gcp cloud platforms
This role is crucial in bridging the gap between data science and IT operations within a leading Asian bank

Job Summary

  • This role is crucial in bridging the gap between data science and IT operations within a leading Asian bank.
  • The successful candidate will design robust MLOps pipelines ensuring seamless integration and deployment of machine learning models.
  • UOB offers an equal opportunity environment where employees are guided by values of being honorable, enterprising, united, and committed.

Matching Summary

This role is crucial in bridging the gap between data science and IT operations within a leading Asian bank.

Skills & Requirements

Must-have

  • Python programming skills
  • Docker and Kubernetes containerization
  • AWS Azure GCP cloud platforms
  • MLflow Kubeflow Sagemaker tools
  • CI/CD strategies for ML models
  • Model performance monitoring systems

Nice-to-have

  • Experience in financial services industry
  • Strong problem-solving abilities
  • Excellent communication skills
  • Knowledge of Spark and Kafka
  • Research on new MLOps tools

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 3+ years of experience in MLOps or DevOps roles
  • Proficiency in Python and MLOps platforms
  • Solid understanding of CI/CD principles

Work Rights

Not specified

Tailored Resume

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