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Sr. Voice/Speech Recognition Engineer & SME

Job Title
Sr. Voice/Speech Recognition Engineer & SME
Job ID
Canton,  MI 48188
Other Location

Title:  Sr. Voice/Speech Recognition Engineer & SME

Our History:
From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies, to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record

Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project based work.

Job Description

We are seeking a Speech and Voice Recognition SME to join our team! 


  • Master's or PhD degree in EE, CS, NLP, Speech, or AI.
  • Strong background and hands-on experience in speech recognition, spoken dialogue, machine learning and related fields

Must Have  

  • Should also have a solid background in Speech / Voice Recognition development.
  • Hands on experience with Nuance Embedded / Cloud based Voice recognition SDKs like Alexa, API.AI.
  • Significant experience with current TTS technologies and speech synthesis techniques
  • Deep understanding of expressive speech synthesis techniques
  • Proven ability in delivering complex end-to-end solutions, and managing own projects
  • Strong software engineering skills, algorithm design, architecture design
  • Exceptional experience in C++ and scripting languages such as Python
  • Experience in working with Unix/Linux systems
  • Engineer should also have passion for developing new products, and experience working the complete SW development life cycle.
  • Plan, organize, execute and monitor all aspects of projects to achieve commitments for delivery, performance
  • Lead technical discussions with customers to ensure requirements are met and customer is satisfied
  • Prepare documents and reports with cross functional teams for engineering and program management along with participating in design reviews with customers and engineering peers
  • Design and conduct test programs that support project initiatives
  • Ensure product meets customer and internal requirements, specifications, and cost targets
  • Conduct research and development for new technologies and products

Nice to Have

  • Research and review competitive products, technologies, and intellectual property
  • Hands-on experience of deep learning technologies and familiar with state-of-the-art deep learning toolkits

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