AIML Developer – Voice Automation & Conversational AI
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Monthly Salary:
Experience Required:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description for AI/ML Developer Voice Automation & Conversational AI
Job Summary
The AI/ML Developer Voice Automation & Conversational AI is responsible for developing testing and maintaining AI-driven voice automation and conversational AI applications. This role focuses on implementing natural language processing (NLP) speech AI and machine learning (ML) models that improve call center automation customer engagement and operational efficiency. The AI/ML Developer works closely with engineers analysts and operations teams to deliver scalable high-performance voice automation features integrated with telephony CRM and ticketing platforms.
Roles & Responsibilities
Develop test and maintain AI and ML components for voice automation and conversational AI systems. Implement NLP and LLM-based models for speech recognition intent classification and response generation. Support the development of Retrieval-Augmented Generation (RAG) pipelines for improved knowledge retrieval and automation accuracy. Build integrations between AI systems and telephony platforms such as Amazon Connect Genesys Twilio or Five9. Develop APIs and backend services to connect voice bots with CRM and ticketing systems. Write clean efficient and well-documented code for AI/ML model deployment and monitoring. Collaborate with senior engineers and data scientists to optimize performance scalability and accuracy. Perform testing debugging and maintenance of deployed AI models and applications. Ensure all solutions adhere to organizational data governance privacy and compliance requirements. Contribute to sprint planning code reviews and technical documentation. Stay updated with evolving AI speech recognition and automation technologies.
Requirements
Bachelors Degree in Computer Science Software Engineering or related quantitative discipline. 5 years of experience in AI/ML development conversational AI or automation system implementation. Hands-on experience building and integrating AI or chatbot applications in production environments. Understanding of machine learning principles data preprocessing and model deployment workflows.
Required Skills
Proficiency in Python with experience using ML frameworks such as PyTorch TensorFlow and LangChain. Practical experience implementing speech-to-text (STT) text-to-speech (TTS) or chatbot systems. Familiarity with LLM fine-tuning embeddings and NLP techniques such as semantic and vector search. Experience developing APIs and microservices using FastAPI or Flask. Working knowledge of cloud environments (AWS GCP or Azure) for AI model deployment. Familiarity with containerization and CI/CD tools (Docker Jenkins and Git). Experience integrating AI tools with CRM or telephony systems.
Strong debugging testing and version control skills. Effective communication and collaboration skills to work with cross-functional teams. Ability to manage multiple priorities in an agile fast-paced environment
Required Skills:
Golang Kubernetes Cloud (AWS/Azure/GCP) Linux Microservices
Company Industry
IT Services and IT Consulting
Key Skills
- EIGRP
- VOIP
- VMware
- Avaya
- BGP
- LAN
- OSPF
- QoS
- Project Planning
- Scripting
- Unity
- Troubleshooting
