Highly Skilled Speech Technologist Wanted

20 hours ago


Bengaluru, Karnataka, India beBeeSpeechTechnologist Full time ₹ 25,00,000 - ₹ 50,00,000

We're seeking a highly skilled speech technologist with deep expertise in speech technologies and advanced NLP to join our team. In this role, you'll work on 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.

The ideal candidate will have experience with speech AI/ASR models like Whisper, wav2vec2, DeepSpeech, Kaldi, or Silero including fine-tuning for Indian voice patterns. They will also have a strong understanding of NLP techniques for fraud detection including fraud keyword spotting, masked text decoding, and intent classification.

  • Design and implement fraud detection logic based on transcribed speech, keywords, and intent patterns.
  • Integrate telecom call metadata to generate a multi-signal fraud score.
  • Optimize entire model pipeline for low-latency mobile inference (TFLite, ONNX, quantization).

You'll collaborate with VoIP/backend engineers to analyze call behavior patterns and contribute to future capabilities: audio fingerprinting, real-time call classification, and voice anomaly detection. A bachelor's or master's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field is required, along with specialization or thesis work in speech processing, ASR, telecom analytics, or applied NLP.

We're looking for candidates who have hands-on experience in speech AI, NLP for fraud or intent detection, or telecom-related machine learning, preferably with previous work in R&D/product roles at communication companies or telecom/VoIP-focused startups. Experience building, deploying, and optimizing mobile-first ML models or inference engines for real-time applications is also a plus.

Bonus if You Have

  • Contributed to open-source projects like openai/whisper, mozilla/DeepSpeech, or Facebook's wav2vec2.
  • Kaggle competition experience in speech or fraud detection, or published work in fraud defense / voice AI.

Contact us at with your CV + work samples (GitHub, papers, demos) and subject line Speech Technologist. We look forward to hearing from you.



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