Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full 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 relevanceReady to apply?
Join Zensar Technologies and take your career to the next level!
Application takes less than 5 minutes