Speech AI Engineer

Role:

Team:

About BIG Language Solutions

Language Service Provider (LSP)

Your Role

Speech AI Engineer

lower cost per session, consistent quality, and scalable global coverage

real-world, real-time

What You’ll Do

• Architect, build, and refine

  our next-generation Virtual Interpreter pipeline—starting from an existing proof of concept—by designing pre- and post-processing components (or reimagining the pipeline entirely) to achieve higher accuracy, usability, and production readiness.
• Build and deploy

  real-time QA scoring systems

  to assess interpretation quality during calls.
• Integrate AI interpretation capabilities into enterprise platforms (starting with the Nice Interpretation Platform) for seamless customer access.
• Optimize model inference speed and accuracy for real-time interpretation scenarios.
• Collaborate with product and operations teams to align AI development with interpretation service delivery goals.
• Keep up-to-date with research on ASR, machine translation, speech synthesis, and multilingual NLP to inform system improvements.

Requirements

• 3+ years of experience in

  Applied Machine Learning

  , ideally with a focus on

  speech, NLP, or multilingual AI

  .
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Computational Linguistics, or related field.
• Strong Python skills and experience with ML frameworks such as

  PyTorch

  ,

  TensorFlow

  , or

  HuggingFace Transformers

  .
• Experience working with

  automatic speech recognition (ASR)

  ,

  machine translation

  , and

  speech generation

  models.
• Familiarity with

  MLOps

  tools (e.g., MLflow, Weights & Biases, Docker, Kubernetes) for deploying and maintaining production systems.
• Proven ability to design, train, evaluate, and optimize real-time ML systems.
• Knowledge of multilingual NLP concepts such as cross-lingual embeddings, sequence modeling, and quality evaluation metrics.

Think global. Think BIG.

Visit us: https://biglanguage.com

Linkedin: https://www.linkedin.com/company/big-language-solutions/mycompany/