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Current Openings

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We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software’s predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Key Responsibilities:

  • Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
  • Transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Ensuring that algorithms generate accurate user recommendations.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

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We are looking for a DevOps Engineer to join its Corporate and Cloud Operations team. This position is responsible for leading and implementing DevOps best practices leveraging key software solutions. The qualified candidate will lead the adoption of DevOps toolsets amongst cross-functional technical teams. We are looking for a candidate who implemented DevOps within a large scale technology organization or having solid foundational experience ready to take the next step in their career.


  • Implement and manage standardization of processes, roles and responsibilities of DevOps toolsets
  • Act as an administrator of key DevOps toolsets by managing permissions, configuration and roles
  • Create and maintain system documentation and training manuals
  • Conduct routine training sessions and training materials
  • Create dashboards and reports within DevOps toolsets
  • Responsible for managing DevOps toolset questions
  • Lead adoption of and ongoing reporting efforts to support technology team time tracking
  • Skills in Agile methodology and process engineering

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