So Mlops Integration Engineer, Gmet

UOB United Overseas Bank Limited

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 to ensure seamless model integration

Job Summary

  • This role is crucial in bridging the gap between data science and IT operations to ensure seamless model integration.
  • The successful candidate will design robust MLOps pipelines for scalable machine learning workloads across major cloud platforms.
  • 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 to ensure seamless model integration.

Skills & Requirements

Must-have

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

Nice-to-have

  • Experience in financial services industry
  • Strong problem-solving abilities
  • Excellent communication skills
  • Knowledge of data engineering concepts
  • Familiarity with Spark and Kafka

Key Requirements

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

Work Rights

Not specified

Tailored Resume

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