Voice AI Engineer

Role overview

Voice AI Engineer at Techolution

Responsibilities

• Develop and refine Conversational AI Design and Development flows.

Employment details

• Location: Hyderabad [India (Hybrid)]

Application details

• Solid understanding and application of Natural Language Processing (NLP) techniques.

About the employer

• Techolution is seeking a Mid-Level Voice AI Engineer to spearhead our production AI engagements, owning the entire voice workstream from architecture to deployment.

Additional role details

• Are you ready to be the definitive voice of innovation?
• This isn't a support role; you'll be the voice expert in the room, architecting end-to-end pipelines with technologies like Whisper and Gemini TTS, and seeing your work heard by real users on day one.
• If you thrive on direct client engagement, hands-on engineering, and shaping the future of AI, this is your opportunity to make a profound impact.
• Process Audio Signal Processing for enhanced voice model performance.
• Engineer features from raw data for robust AI model training.
• Manage code changes and collaborate using Version Control (Git) .
• Implement Real-time Audio Processing and Streaming for low-latency applications.
• Demonstrate Extremely Ambitious in tackling complex voice AI challenges.
• Possess the Ability to comprehend complex technical requirements for solutions.
• Strong proficiency in Python Programming for developing scalable AI solutions.
• Expertise in Automatic Speech Recognition (ASR) system development and optimization.
• Hands-on experience with Deep Learning Frameworks like TensorFlow or PyTorch.
• A strong sense of Ownership over projects and their successful delivery.
• Possesses a continuous Seeker Mindset for learning and improvement.
• Exhibits Unbeatable Work Ethics , consistently delivering high-quality results.
• Familiarity with Speech Synthesis (Text-to-Speech) technologies is a plus.
• Experience with MLOps for Voice AI Systems for deployment and monitoring is beneficial.
• Knowledge of Cloud-based Voice AI Services (AWS, GCP, Azure) is advantageous.