AI / ML Engineer

Job Title : AI / ML Engineer – (3+ Years Experience)

Location : Noida, India

Employment Type : Full-time | On-site

Shift Timings : UK (1 : 00 pm to 10 : 00 pm) IST

About the Role

We are seeking a passionate and innovative AI / ML Engineer with hands-on experience in Voice Bots, Conversational AI, and AI Voice solutions . The ideal candidate will have a strong background in machine learning, deep learning, and NLP, along with expertise in integrating databases and knowledge systems to build human-like conversational experiences.

Key Responsibilities

Design, develop, and deploy voice bots and conversational AI solutions  that deliver natural, human-like interactions.

Implement and optimize speech-to-text (STT), text-to-speech (TTS), NLP, and dialog management models.

Leverage Model Context Protocol (MCP) and Agentic AI frameworks to enhance AI-driven conversations.

Build and maintain databases / knowledge bases (relational databases, websites as knowledge points) for training and improving AI models.

Write efficient, scalable, and production-ready Python code for AI / ML pipelines.

Research, evaluate, and integrate state-of-the-art AI models for voice and conversational systems.

Collaborate with cross-functional teams (Product, Engineering, Data Science) to deliver end-to-end AI voice solutions.

Continuously monitor, test, and fine-tune models for accuracy, latency, and user experience .

Required Skills & Experience

3+ years of hands-on experience in AI / ML engineering with a focus on voice bots or AI voice solutions .

Strong knowledge of Machine Learning, NLP, Deep Learning, and Conversational AI .

Proficiency in Python and frameworks such as TensorFlow, PyTorch, and Keras .

Experience with speech recognition, speech synthesis (TTS), and conversational chat AI frameworks .

Familiarity with Model Context Protocol (MCP) , Agentic AI , and Conversational Chat AI architectures .

Experience working with relational databases (RDBMS) and knowledge bases / knowledge graphs .

Understanding of database as a knowledge point and website as a knowledge point integration .

Strong problem-solving skills with the ability to optimize models for real-world deployment .

Excellent communication and teamwork skills.

Good to Have

Experience with LLMs (Large Language Models) for conversational tasks.

Exposure to cloud platforms (AWS, Azure, GCP) for deploying AI solutions.

Knowledge of Agent-based AI systems for autonomous workflows.

Why Join Us?

Opportunity to work on cutting-edge AI voice and conversational solutions .

Collaborative and growth-driven work culture.

Exposure to next-gen AI technologies and innovation-driven projects.

Share your profile at : careers@girikon.com