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Job Title


AI/ML Engineer


Company : K&K Global Talent Solutions INC.


Location : Shimoga, Karnataka


Created : 2025-12-19


Job Type : Full Time


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 EngineerLocation: Hyderabad (Onsite)Employment Type: Full-time PermanentExperience Required: 4+ YearsShift Timing: 09:00 PM – 06:00 AM (US Shift)Notice Period: Immediate to 10 DaysRole: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 systemsDevelop NLP pipelines covering intent classification, entity extraction, and dialogue managementWork on latency-sensitive voice workflows (STT → NLU → LLM → TTS)Optimize model inference using NVIDIA GPUs and CUDATrain, fine-tune, and deploy models using PyTorch or TensorFlowHandle real-world language challenges such as accents, slang, and noisy environmentsIntegrate conversational AI systems with hardware or robotic platformsDesign complete end-to-end voice interaction flowsRequired Skills:Strong hands-on experience in NLP & Conversational AI (LLMs, NLU, STT, TTS) with production deploymentsProven experience building real-time voice assistantsHands-on experience with NVIDIA GPUs (CUDA, inference optimization)Strong experience with PyTorch or TensorFlowExpert-level Python and solid Linux experienceExperience with agent-based architectures and tool callingImportant Note:We are specifically looking for candidates who have:Worked on real-time, production systems (not academic projects)Hands-on GPU/CUDA experienceClear ownership of conversational AI components in past projects