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Parkway Project Limited

Internal Audit Officer

Lagos, Nigeria

ML Ops / Risk Decision Scientist

Closing: Jun 13, 2024

14 days remaining

Published: May 29, 2024 (2 days ago)

Job Requirements

Education:

Work experience:

Language skills:

Job Summary

Contract Type:

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Requirements
  • Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field.
  • Proficiency in Python, SQL, and database management.
  • Experience with Docker and deploying applications on cloud platforms such as AWS.
  • Strong experience with CI/CD pipelines, automated testing, and deployment.
  • Ability to use effectively monitoring tools and establish responsive alert systems.
  • Robust documentation skills to clearly record processes and optimizations.
  • Familiarity with SageMaker and other AWS services would be a significant advantage.
Responsibilities
Requirements
  • Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field.
  • Proficiency in Python, SQL, and database management.
  • Experience with Docker and deploying applications on cloud platforms such as AWS.
  • Strong experience with CI/CD pipelines, automated testing, and deployment.
  • Ability to use effectively monitoring tools and establish responsive alert systems.
  • Robust documentation skills to clearly record processes and optimizations.
  • Familiarity with SageMaker and other AWS services would be a significant advantage.
  • We are currently hiring for a mixed role that is 70/30% ML Ops/Risk Data Scientist. Join us, and you will contribute to building our decision and risk engine.

Responsibilites

  • Oversee and deploy ML pipelines, from development to production.
  • Administer CI/CD pipelines, ensuring tests succeed and artifacts are properly stored.
  • Monitor model performance metrics and set up alert systems for anomalies.
  • Develop credit, fraud scoring and other predictive models.
  • Engage with stakeholders to understand requirements and manage expectations.
  • Document processes, and share knowledge and expertise.
  • Manage project planning, execution, and progress tracking.

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