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Job Description
- Lead the development and optimization of ASR (Automatic Speech Recognition), TTS (Text-to-Speech), NLU (Natural Language Understanding), and LLM-based components for conversational AI applications.
- Architect and implement data pipelines for training, evaluating, and deploying speech and language models at scale.
- Develop and fine-tune speech recognition, text-to-speech, and natural language understanding (NLU) models.
- Evaluate and optimize ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) engines for accuracy, latency, and user experience.
- Integrate LLMs (e.g., Open AI, GPT, PaLM, BERT, Claude) into conversational workflows to enhance contextual understanding and response generation.
- Strong experience with NLP frameworks (spaCy, Transformers) and LLMs.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
- Design and implement speech analytics solutions for: call categorization, call tagging, sentiment analysis and trend analysis
Key Skills
Ranked by relevance
asr
ai
tensorflow
python
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- Posted
- Oct 02, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Pune
- Company
- Zensar Technologies
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-05-17
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IT Services
Engineering
View Job Details
Related
DevOps Engineer
2026-04-02
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View Job Details
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Senior Data Architect
2026-05-21
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