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New Employment Opportunity at Jumio 


New Employment Opportunity at Jumio

ROLE: Machine Learning Engineer

A graph machine-learning engineer is needed. In this capacity, you will have the opportunity to collaborate with a variety of product and engineering experts.

Responsibilities:

  • Create cutting-edge graph-based machine learning models and algorithms for detecting and mitigating fraudulent behaviors in complex, interconnected datasets.
  • Implement and improve graph-based algorithms for node categorization, connection prediction, and community detection, all of which are specifically designed to detect patterns suggestive of fraudulent behavior.
  • Collaboration with cross-functional teams is required to integrate machine learning models into scalable and efficient production processes.
  • Conduct extensive analysis and tests on graph-based data structures to evaluate model performance, scalability, and efficiency.
  • Investigate and stay up-to-date on the most recent breakthroughs in graph-based machine learning approaches, providing ground-breaking concepts for our fraud detection technological capabilities.

Knowledge and Experience:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a closely related discipline is required.
  • 3 years of experience designing and deploying machine learning models especially designed for identifying fraud within graph-based data structures.
  • Strong knowledge of graph theory, graph algorithms, and graph databases (for example, Neo4j, Amazon Neptune, TigerGraph).
  • Proficient in machine learning programming languages (e.g., Python, R, Java) and libraries/frameworks (e.g., NetworkX, PyTorch Geometric, GraphSAGE).
  • Hands-on expertise with data preprocessing, feature engineering, and model evaluation in the domain of graph-based machine learning, with a focus on detecting fraudulent behaviors.
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Excellent qualifications and experience:

  • A thorough understanding of graph embedding techniques, graph neural networks, and their applications to real-world issues.
  • PhD in Computer Science or a similar subject, with a concentration in graph-based machine learning.
  • Knowledge of distributed computing frameworks (for example, Apache Spark) for scalable graph processing.
  • Working knowledge of large-scale graph databases and performance optimization for computing efficiency.
  • Open-source contributions related to graph-based machine learning or graph algorithms.
  • Strong analytical and problem-solving abilities, as well as a sharp eye for detail, are required for optimizing algorithms for performance and scalability.

Key Attitudes and Characteristics:

Jumios recognized these traits across all locations and functions in a recent worldwide poll—we fully believe in hiring for attitude as well as talent.

  • Friendly and helpful
  • adaptable and adaptable
  • convincing and articulate
  • IQ and EQ are both quite high.
  • Inquisitive and teachable
  • Commercially Minded
  • tenacious and resilient
  • The big picture and the fine print
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How to Apply for this Employment Opportunity at Jumio

Click Here to Apply Online

Closing Date: January 22, 2023

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