
AI Engineer
4 weeks ago
Key Responsibilities :
- Design, develop, and optimize Voicebot and Chatbot solutions using NLP/NLU/NLG frameworks.
- Implement speech recognition, text-to-speech, and intent classification systems for real-time interactions.
- Integrate AI-powered conversational solutions into enterprise applications and platforms.
- Collaborate with product, engineering, and UX teams to improve conversation design and user flow.
- Train and fine-tune language models for improved accuracy and contextual understanding.
- Monitor performance and continuously enhance conversational AI models.
Required Skills & Experience :
- 3 - 5 years of experience in Conversational AI and Voicebot development.
- Strong experience with NLP/NLU platforms such as Dialogflow, Rasa, Microsoft Bot Framework, or Amazon Lex.
- Hands-on experience with speech-to-text and text-to-speech technologies (Google Speech API, Amazon Polly, Azure Cognitive Services, etc.).
- Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, or spaCy.
- Experience integrating AI bots with messaging channels (WhatsApp, IVR, MS Teams, etc.).
- Strong understanding of conversation design principles and context management.
Good to Have :
- Knowledge of LLMs (e.g., OpenAI, Anthropic, LLaMA).
- Experience in multilingual conversational AI solutions.
- Familiarity with cloud platforms (AWS, GCP, Azure).
(ref:hirist.tech)
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