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Senior Staff AI Engineer

Temporary

Sutherland

Role Description

  • Provides, guides and uses professional concepts in developing resolution to critical issues.
  • Train and fine-tune models using LoRA and other parameter-efficient techniques.
  • Design, train, and evaluate multimodal models from scratch.
  • Apply reinforcement learning techniques to model development and optimization.
  • Experience with audio/speech ML tasks such as speaker diarization and speaker identification.
  • Deploy, debug, and maintain distributed systems in cloud environments.
  • Optimize inference pipelines using tools and techniques such as TensorRT, quantization, and pruning.
  • Monitor and maintain models in production, including handling data drift and system failures.
  • Perform data gathering, cleaning, and curation to build high-quality training and evaluation datasets.
  • Comfortable working with a gated, continuous deployment workflow that requires unit, component, and integration tests.
  • Applies extensive knowledge of theories, practices and design matters.
  • Works on issues that impact program success or addresses future concepts and products.
  • Exercise a wide latitude in determining objectives and approaches to critical assignments.
  • Knowledge of media management strategies and distribution workflows.
  • Work closely with Product and Operations to design and optimize workflows.
  • Apply broad expertise and knowledge in highly specialized fields or several related disciplines.
  • Contributes to development of company objectives across and principles to achieve goals.
  • Work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.

Qualifications

  • Expert experience, understanding and knowledge of digital and broadcast production operations and workflows.
  • 5+ years working with the AWS cloud.
  • 1+ years working with the Azure cloud.
  • Strong knowledge of industry trends and best practices.
  • Strong experience with the C4 model and other traditional design artifacts.
  • Experience working in an Agile environment.

Requirements

  • 7+ years of programming languages such as Java, Golang, Python, JavaScript.
  • Knowledge with broadcast production or video content management systems.
  • Familiarity with client-side web technologies (React, Angular, JavaScript, CSS, HTML).
  • Familiarity with continuous integration/deployment practices.
  • Docker, Kubernetes experience a plus.
  • BS in CS, EE or equivalent experience required.

Company Description

Vacancy posted 7 days ago
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