Advanced Speech AI Scientist

6 days ago


Bengaluru, Karnataka, India beBeeSpeechAI Full time ₹ 4,00,000 - ₹ 5,00,000
Speech AI Scientist – Advanced NLP

We're seeking a highly skilled Lead Speech Researcher with deep expertise in speech technologies and advanced NLP to join our growing AI research team.

  • We are looking for an expert in building and optimizing machine learning systems that power intelligent audio and language-based solutions, contributing to next-generation AI products that prioritize privacy, performance, and scalability.

Job Responsibilities:

  • Design and Implement: Build a real-time voice-to-text pipeline using models like Whisper, wav2vec2, DeepSpeech, or custom speech models.
  • Fraud Detection Logic: Design and implement fraud detection logic based on transcribed speech, keywords, and intent patterns.
  • Integration with Telecom Call Metadata: Integrate telecom call metadata to generate a multi-signal fraud score.
  • Optimization: Optimize entire model pipeline for low-latency mobile inference (TFLite, ONNX, quantization).
  • Collaboration with Engineers: Collaborate with VoIP/backend engineers to analyze call behavior patterns.
  • Future Capabilities: Contribute to future capabilities: audio fingerprinting, real-time call classification, and voice anomaly detection.
  • Deployment and Updates: Work closely with AI Product and MLOps teams for deployment, updates, and feedback-based iteration.

Required Skills and Qualifications:

  • Technical Expertise: Experience with speech AI/ASR models like Whisper, wav2vec2, DeepSpeech, Kaldi, or Silero including fine-tuning for Indian voice patterns.
  • NLP Techniques: Strong understanding of NLP techniques for fraud detection including fraud keyword spotting, masked text decoding, and intent classification.
  • Telecom Metadata Analysis: Ability to extract and analyze telecom metadata.
  • Model Optimization: Hands-on experience optimizing models using TFLite, ONNX, and applying quantization (post-training or QAT) for on-device inference.
  • Programming Languages: Proficient in Python, with deep experience in PyTorch or TensorFlow, and comfort working with NumPy, pandas, and real-time data pipelines.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field.
  • Specialization or Thesis Work in speech processing, ASR, telecom analytics, or applied NLP preferred.
  • Strong Portfolio showcasing real-world speech/NLP applications, open-source contributions, or peer-reviewed publications.

Experience:

  • 3 to 6+ years of hands-on experience in speech AI, NLP for fraud or intent detection, or telecom-related machine learning.
  • Previous Work in R&D/product roles at communication companies or telecom/VoIP-focused startups is a major plus.

Bonus if You Have:

  • Open-Source Contributions: Contributed to open-source projects like openai/whisper, mozilla/DeepSpeech, or Facebook's wav2vec2.
  • Kaggle Competition Experience: Kaggle competition experience in speech or fraud detection, or published work in fraud defense / voice AI.
  • Ai Security Experience: Experience working on AI security, adversarial robustness, or real-time edge inference protection.

How to Apply:

  • Easy apply online.

About Us:

We're a revolutionary end-to-end communication and discovery platform that redefines how people connect, interact, and collaborate. Powered by advanced AI, we offer secure, AI-driven instant chats, group discussions, dynamic communities, and seamless VoIP calls, delivering a comprehensive and engaging communication experience.



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