O

Omilia

Enterprise CX platform with voice-first automation

Automatic Speech Recognition Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeRemote in GreeceNo salary listedRemote

About the Job

Requirements

  • At least 5 years of hands-on automatic speech recognition or speech engineering experience, including substantial production or live IVR/voice-channel deployments.
  • A demonstrated track record supporting customers directly; experience in banking, insurance, or healthcare is preferred.
  • Hands-on experience with ASR platforms such as Kaldi or equivalent, including language modeling, acoustic modeling, grammar and lexicon design, and decoder tuning.
  • Programming ability, preferably in Python; Bash, Java, or C++ are also acceptable, and comfort working in Linux environments.
  • Academic background in Computer Science, Electrical Engineering, Computational Linguistics, or Speech and Language Processing, or equivalent hands-on experience; a degree does not substitute for production experience at this level.
  • Excellent spoken and written English for direct communication with enterprise customers and partners.
  • Ability to independently own ambiguous production-critical problems, prioritize across multiple accounts, and work under demanding deadlines.

Responsibilities

  • Own end-to-end ASR tuning, model, and grammar delivery for live enterprise IVR and voice deployments from requirements through go-live and ongoing optimization.
  • Investigate and resolve production ASR issues, restoring customer-facing voice channels rapidly under time pressure.
  • Own the technical relationship for assigned enterprise accounts as the primary ASR delivery contact for customer and partner stakeholders.
  • Drive measurable word error rate and sentence error rate improvements against production baselines through acoustic and language model design and fine-tuning, including modern neural approaches.
  • Contribute to and help scale delivery automation to reduce manual turnaround across the team's release cadence.
  • Ensure ASR solutions perform reliably across production infrastructure and deployment environments in multiple global regions.
  • Tune ASR grammars, acoustic models, and language models for new locales, domains, and customer-specific vocabularies.
  • Design, train, and fine-tune acoustic and language models, including modern neural approaches, to achieve measurable word error rate and sentence error rate improvements.
  • Investigate and resolve production ASR issues such as recognition failures and showstopper defects, engaging directly with internal and external customer and partner stakeholders.
  • Run customer working sessions and translate technical tradeoffs for non-technical stakeholders.
  • Represent ASR delivery in cross-functional forums with Product, Support, and Project Management.
  • Build and maintain grammar-generation and other delivery automation pipelines to speed up release cycles.
  • Monitor live ASR performance and proactively identify and address degradation before it affects customers.
  • Deploy and validate ASR updates across production infrastructure spanning multiple global regions.
  • Document tuning decisions, model versions, and configuration changes for auditability and knowledge sharing.

Desired Qualifications

  • Experience with modern neural ASR frameworks such as wav2vec2, Whisper, or similar end-to-end models.
  • Exposure to telephony or CCaaS platforms and IVR architectures.
  • Familiarity with cloud infrastructure and MLOps practices for model deployment and monitoring.
  • Additional spoken languages beyond English.

About the Company

Omilia

Enterprise CX platform with voice-first automation

Omilia provides an enterprise conversational AI platform for large contact centers that runs voice-first automation using deep automatic speech recognition, voice biometrics, and multi-channel dialogue management. The platform is self-learning and agentic, designed to integrate with existing telephony and CRM stacks, and serves regulated industries such as banking, insurance, healthcare, and telecoms. It differentiates itself by focusing on enterprise-scale, voice-first CX with robust security and compliance, supported by a long-tenured history (founded 2002) and a track record with major clients like Capital One, Discover, RBC, and Taco Bell, along with substantial funding and rapid growth to expand into North America. The company's goal is to help large contact centers deliver scalable, compliant automated customer experiences across channels, driving growth and efficiency in customer interactions.

Company size
501-1,000
Company stage
Series B
Total funding
$87M
Headquarters
Larnaca Municipality, Cyprus
Founded
2002

Recently Posted Jobs

Explore more opportunities at Omilia

See more jobs