SIL International is hiring a
Remote MLOps Engineer - Audio and Speech Processing

đź“Ť Remote

Are you mad-skilled at building amazing technical solutions yet burned out because your efforts sell widgets you don't care about? Passionate about your Christian faith and want to put that to work making a difference for people around the world? Come join the IDX team as a technical architect!

The MLOps Engineer Volunteer will focus on developing and maintaining robust, scalable tools and infrastructure for audio processing, text-to-speech (TTS), and speech-to-text (STT) applications in the field of NLP, particularly for low-resource languages. This role involves collaboration with data scientists and NLP researchers to integrate cutting-edge technologies into practical solutions, aiding SIL and its partners in their mission to enhance communication and information accessibility across diverse language communities.

Major Job Responsibilities
  • Design and implement infrastructure for audio processing and speech-related NLP applications.
  • Develop and maintain pipelines for TTS and STT models, ensuring efficiency and scalability.
  • Collaborate with NLP researchers and data scientists for the integration of new speech processing algorithms.
  • Automate deployment processes and maintain high system availability.
  • Monitor and optimize system performance, ensuring data security and integrity.
  • Provide technical expertise and support for audio and speech-related NLP projects.

Minimum Skill Sets (KSAs):
Knowledge
  • Deep understanding of DevOps/MLOps practices and tools.
  • Familiarity with audio processing, TTS, and STT technologies.
  • Proficiency in Python and/or similar programming languages.

Skills
  • Experience with cloud computing platforms (e.g., AWS, GCP).
  • Ability to design and manage CI/CD pipelines.
  • Competence in Docker, Kubernetes, and similar containerization technologies.
  • Effectively communicate with both technical and non-technical teams.

Attitudes
  • Committed to upholding professional standards
  • Demonstrating the highest level of ethical behavior
  • Interacting positively and collaborating as a member or leader of a team, with respect toward various differing perspectives
  • Able to work and communicate effectively across cultures
  • Doing the right things in the right way for the right reasons
  • Consistently ready to learn and grow

Education and Experience
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
  • Experience in MLOps, particularly in NLP or speech processing environments.
  • Prior work with cloud-based infrastructure and audio processing tools is highly desirable.
  • Experience in creating and managing APIs, specifically for machine learning applications, is desirable.
  • Knowledge of other languages in addition to English, and/or exposure to diverse multilingual environments, is preferred.
SOFTWARE DEVELOPMENTREMOTEARTIFICIAL INTELLIGENCEDEVOPSPYTHONCI/CDDOCKERKUBERNETESMACHINE LEARNINGCOMPUTER SCIENCE
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đź“Ť Location: Remote
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