AI/ML Engineer

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

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Employment Type:

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About the Role

AI/ML Engineer

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