Chandler Recruiter Services Inc CHURN | Machine Learning Engineer – 983642 | Texas | United States | BigDataKB.com | 2023-01-27

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Job Location: Texas

Job Detail:

Lead ML Engineer

Overview:
The ideal candidate is a seasoned ML/Ops engineer with hands on experience in building and maintaining ML pipelines, integrating them with heterogeneous data sources. Good understanding of ML training and serving infrastructure is a must, with an emphasis on secure interoperability of ML services in a multi-service environment. The person should have strong development and communication skills, with an appreciation of data security and continuous integration.

Job Description:
Architect, design and maintain large scale ML pipelines in the Azure/MLFLow/Kubeflow environment.

  • Model Deployment:
  • Work with Data Scientists and Infrastructure Engineers to develop and deploy ML models in a data and computationally efficient way. Develop and improve tooling related to system reliability model performance monitoring.

  • Data Source Integration:

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Integrate ML pipelines with diverse data sources, with data modalities including text and image and audio data, and storage modalities ranging from on-disk files, through databases to internal and web-service APIs.

  • Presentation and Visualization
  • Create and share architecture and design documents with the team.
  • Create dashboards for performance monitoring.

Qualifications:
  • Bachelors or Masters in Computer Science.
  • Comprehensive familiarity with common ML service architectures.
  • +5 years of professional experience in ML ops involving major cloud platforms.
  • Extensive Experience with building ML pipelines utilizing heterogeneous data.
  • Good hands-on experience with KubeFlow and MLFlow
  • Extensive familiarity with CI, build and source control tools
  • Strong communication and project management skills

Ideally the candidate will have:
  • +5 years of experience with ML pipeline development in the Azure, AWS or Google Cloud platforms
  • +5 years of experience with ML frameworks and tools (scikit-learn, pytorch, tensorflow, etc)
  • Hands-on experience data processing tools related to text, images and audio (e.g., OpenCV, Wave2letter++)
  • Strong familiarity with development on Linux
  • Strong software development skills, with an emphasis on Python

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