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AI/ML Engineer

K&K Global Talent Solutions INC.

2 - 5 years

Hyderabad

Posted: 23/12/2025

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Job Description

K&K Global Talent is an international recruiting agency that has been providing technical resources globally since 1993. This position is with one of our clients in India , who is actively hiring candidates to expand their teams.


Title: AI/ML Engineer

Location: Hyderabad (Onsite)

Employment Type: Full-time Permanent


Experience Required: 4+ Years


Shift Timing: 09:00 PM 06:00 AM (US Shift)

Notice Period: Immediate to 10 Days


Role:

We are looking for a Senior Conversational AI / Voice Assistant Engineer to design and deploy real-time, production-grade voice assistants . This role focuses on low-latency NLP, LLMs, and GPU-optimized inference , working closely with hardware/robotics systems.


This is a hands-on engineering role , not a research-only or POC-based position.


Responsibilites:

  • Build and deploy real-time conversational AI and voice assistant systems
  • Develop NLP pipelines covering intent classification, entity extraction, and dialogue management
  • Work on latency-sensitive voice workflows (STT NLU LLM TTS)
  • Optimize model inference using NVIDIA GPUs and CUDA
  • Train, fine-tune, and deploy models using PyTorch or TensorFlow
  • Handle real-world language challenges such as accents, slang, and noisy environments
  • Integrate conversational AI systems with hardware or robotic platforms
  • Design complete end-to-end voice interaction flows


Required Skills:

  • Strong hands-on experience in NLP & Conversational AI (LLMs, NLU, STT, TTS) with production deployments
  • Proven experience building real-time voice assistants
  • Hands-on experience with NVIDIA GPUs (CUDA, inference optimization)
  • Strong experience with PyTorch or TensorFlow
  • Expert-level Python and solid Linux experience
  • Experience with agent-based architectures and tool calling


Important Note:

We are specifically looking for candidates who have:

  • Worked on real-time, production systems (not academic projects)
  • Hands-on GPU/CUDA experience
  • Clear ownership of conversational AI components in past projects

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