Voice AI Engineer

exponentiel.ai

Paris

Sur place

EUR 60 000 - 95 000

Plein temps

14 jours+

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Résumé du poste

exponential AI is seeking a skilled Voice AI Engineer to design and implement advanced voice AI solutions, including speech recognition, NLP, and TTS functionalities. You will work with cross-functional teams to integrate these technologies into our applications and drive scalable, high-performance systems.

You'll refine ML models, optimize accuracy, and collaborate with UX/UI designers to create natural voice interactions.

Qualifications

  • 3+ years of experience in voice AI development, including speech recognition and NLP.
  • Proficiency in programming languages such as Python or Java.
  • Experience with voice AI platforms and frameworks (e.g., Google Dialogflow, Azure, Alexa).
  • Strong understanding of ML and DL for voice and language processing.
  • Familiarity with voice data processing, acoustic and language modeling.

Responsabilités

  • Design, develop, and implement voice AI solutions including speech recognition, NLU, and TTS.
  • Collaborate with cross-functional teams to integrate voice AI into applications and platforms.
  • Develop and fine-tune ML models for voice recognition and dialogue management.
  • Optimize performance, accuracy, and scalability of voice AI systems.
  • Work with UX/UI designers to ensure seamless voice interactions.
  • Conduct research on latest voice AI tech and trends.
  • Troubleshoot and resolve voice AI issues.
  • Maintain technical documentation for voice AI solutions.
  • Participate in code reviews and mentor team members.

Connaissances

Speech recognition
Natural language processing
Python
Java
Machine learning
Deep learning
Troubleshooting
Collaboration

Outils

Google Dialogflow
Microsoft Azure Cognitive Services
Amazon Alexa
TensorFlow
PyTorch
MXNet

Description du poste

About The Position

We are currently seeking a skilled and innovative Voice AI Engineer to join our team. This role is essential in designing and implementing advanced voice AI solutions, working closely with cross-functional teams to integrate cutting-edge technologies into our applications. The successful candidate will be instrumental in driving the development of voice recognition, natural language processing, and speech synthesis functionalities that enhance user interactions.

As a Voice AI Engineer, you will work on high-impact projects, such as optimizing performance and scalability of voice AI systems and refining machine learning models for better accuracy. You will also collaborate with UX/UI designers to create seamless voice interactions, stay abreast of the latest industry trends, and troubleshoot any issues in AI functionalities. Your expertise will contribute to the continuous improvement of our voice AI capabilities.

Responsibilities
  • Design, develop, and implement voice AI solutions, including speech recognition, natural language understanding (NLU), and text-to-speech (TTS) functionalities.
  • Collaborate with cross-functional teams to integrate voice AI into various applications and platforms.
  • Develop and fine-tune machine learning models for voice recognition, dialogue management, and intent classification.
  • Optimize the performance, accuracy, and scalability of voice AI systems.
  • Work closely with UX/UI designers to ensure seamless and intuitive voice interaction experiences.
  • Conduct research on the latest advancements in voice AI technologies and industry trends.
  • Troubleshoot and resolve issues related to voice AI functionality and performance.
  • Maintain comprehensive technical documentation for voice AI solutions, including design specifications, development processes, and integration guidelines.
  • Participate in code reviews, mentor team members, and contribute to the team’s best practices for voice AI development
Basic Qualifications
  • 3+ years of experience in voice AI development, with expertise in speech recognition and natural language processing technologies.
  • Proficiency in programming languages such as Python or Java.
  • Experience working with voice AI platforms and frameworks (e.g., "Google Dialogflow", "Microsoft Azure Cognitive Services", "Amazon Alexa", or similar).
  • Strong understanding of machine learning and deep learning techniques as applied to voice and language processing.
  • Familiarity with voice data processing, acoustic modeling, and language modeling.
  • Excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Proven ability to manage multiple projects and deliver high-quality results within set deadlines.
Preferred Qualifications
  • Experience with large-scale machine learning or deep learning models, particularly in the context of voice AI.
  • Familiarity with performance optimization techniques for voice-driven systems.
  • Hands-on experience with the latest deep learning frameworks like TensorFlow, PyTorch, or MXNet.
  • Strong collaboration skills and experience working in multi-disciplinary teams.
  • Prior experience with cloud platforms such as AWS, GCP, or Microsoft Azure for voice AI implementations.

This position offers the chance to be at the cutting edge of voice AI, contributing to the development of intelligent, autonomous solutions that redefine user experiences across industries. At exponential AI, we are driven by a mission to integrate advanced AI into real-world applications, pushing the boundaries of automation, scalability, and human interaction, as a Voice AI Engineer, you will play a critical role in building next-generation systems that not only enhance operational efficiency but also deliver seamless, intuitive interactions that are shaping the future of AI-powered applications. If you are passionate about working at the intersection of innovation and impact, this role provides the ideal platform to apply your expertise in an environment that values creativity, collaboration, and excellence.

This will enable you to make a tangible difference in the AI landscape while growing alongside a company leading in AI-driven solutions across multiple domains.

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