AI / ML Engineer – (Conversational AI)

Title: AI / ML Engineer – (Conversational AI)

Notice: Immediate Joiner

Experience: 3+

Location: Delhi NCR (Work from Office)

Role Summary

We are seeking a highly skilled and motivated AI/ML Engineer to be the cornerstone of our conversational AI efforts. You will be responsible for the end-to-end development, implementation, and optimisation of our speech-to-speech conversational platform. This role requires a strong background in machine learning, natural language processing (NLP), and a passion for building robust, human-like voice interfaces.

Key Responsibilities

• Design, develop, and deploy the core conversational AI logic using Google Gemini API and Dialogflow CX.
• Integrate and optimise our system with the Vonage Voice API via WebSockets for real-time audio streaming.
• Develop and fine-tune Speech-to-Text (STT) and Text-to-Speech (TTS) models to support a range of languages, including English (US & UK), Hindi, Spanish, French, Tagalog, Nigerian English, and Arabic.
• Implement and manage webhook functionality to connect our conversational AI to backend services, including the Amadeus GDS and our custom CRM.
• Collaborate with the backend engineering team to ensure seamless data flow and integration across all components.
• Conduct continuous testing, analysis, and refinement of conversational flows to improve accuracy, efficiency, and user experience.
• Ensure all data processing and handling of conversational data (transcriptions, logs) are compliant with GDPR and other relevant regulations.
• Stay up-to-date with the latest advancements in conversational AI and machine learning to drive innovation within the project.

Required Skills & Qualifications

• Proven experience as an AI/ML Engineer, specifically in developing and deploying conversational AI applications.
• Expertise in Google Cloud services, particularly Google Gemini API, Dialogflow CX, and Google Cloud Speech-to-Text and Text-to-Speech APIs.
• Strong programming skills in Python.
• Hands-on experience with real-time communication protocols, such as WebSockets.
• Solid understanding of microservices architecture and REST APIs.
• Knowledge of NLP, natural language understanding (NLU), and dialogue management.
• Familiarity with cloud platforms (e.g., Google Cloud Platform) and CI/CD pipelines.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong communication and collaboration skills to interact with cross-functional teams.

Nice-to-Have Skills

• Experience with the Vonage Voice API or other similar telephony platforms.
• Knowledge of the airline industry or Global Distribution Systems (GDS) like Amadeus.
• Familiarity with database management, both SQL and NoSQL.
• Experience with containerisation technologies (e.g., Docker, Kubernetes).

Job Type: Full-time

Pay: ₹747,400.64 - ₹1,036,097.64 per year

Work Location: In person