About The Position

Responsible for providing reliable and scalable machine-learning capabilities across the organization. Partner with Data Scientists to design and produce machine learning models. Processes include testing and monitoring applications and front-end experiences. Convert machine learning models into mission-critical capabilities that drive customer experience. Research and discover new opportunities to shape products, tools, and technologies to improve business performance.

Requirements

  • Master’s degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Three (3) years of experience in the job offered or related occupation.
  • Alternatively, a Bachelor’s degree in Information Systems, Information Technology, Computer Science, Operations (any), Management (any), Engineering (any), Analytics (any), Business (any), Language (any), Telecom, Math, Physics, Electrical/Electronics, or a related field of study, AND Five (5) years of experience in the job offered or related occupation.
  • Demonstrated experience designing and developing on distributed architectures (microservices or Kubernetes).
  • Demonstrated experience in end-to-end design and development of scalable services for monitoring and product support services.
  • Demonstrated experience with Python programming and coding.
  • Demonstrated experience building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies.
  • Demonstrated experience with DevOps practices, testing frameworks, and CI/CD pipelines.
  • Demonstrated experience with an object-oriented programming language (C# or Java).
  • Demonstrated experience with Machine-learning and AIaaS.
  • Demonstrated experience with MLOps and industry-standard machine-learning Python libraries.
  • Demonstrated experience with Model Development and Deployment (MLFlow, Azure ML, or Sage Maker).
  • Demonstrated experience with Data Science Libraries and Algorithms (TensorFlow, Scikit, or PyTorch).

Responsibilities

  • Providing reliable and scalable machine-learning capabilities across the organization.
  • Partnering with Data Scientists to design and produce machine learning models.
  • Testing and monitoring applications and front-end experiences.
  • Converting machine learning models into mission-critical capabilities that drive customer experience.
  • Researching and discovering new opportunities to shape products, tools, and technologies to improve business performance.
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