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Machine Learning Engineer

Machine Learning Engineer

Yum! India Global Services Private Limitedjunagadh, gujarat, in
8 hours ago
Job description

Yum! Brands’ is hiring Machine Learning Engineers to support the development and optimization of real-time AI systems that power the Taco Bell Voice AI experience. This role will focus on speech, natural language, and infrastructure-oriented ML tasks that help ensure performance, reliability, and adaptability of deployed voice agents.

You’ll collaborate closely with MLEs, AI Engineers, and QA to fine-tune and evaluate models, improve latency, and deliver on voice AI performance standards at drive-thru scale.

Responsibilities :

Model Development & Optimization

  • Train, fine-tune, and evaluate speech recognition (ASR), LLM, and NLU models
  • Contribute to model monitoring, evaluation pipelines, and test harnesses
  • Optimize for speed, robustness, and market variability

Deployment & Integration Support

  • Collaborate with MLEs and DevOps to validate models in staging and production
  • Participate in benchmarking across markets and environments (hardware, accents, menu dynamics)
  • Help investigate production issues and assist in triage / debugging

    • Collaboration & Experimentation

  • Work with AI Engineers to deploy prompt-based systems enhanced with learned representations
  • Pair with QA to improve model accuracy and regressions
  • Contribute to experiment design, data selection, and annotation loops.

    • Mandatory Skills

  • 4-8 years of experience in applied machine learning or MLE roles.
  • Proficiency in Python and ML libraries such as PyTorch, TensorFlow, HuggingFace.
  • Experience in fine-tuning speech, ASR, or embedding models.
  • Deep experience with ML pipelines and model lifecycle management.
  • Hands-on with NLP / LLM modeling,Fine-tuning (LoRA / QLoRA), Embeddings & Prompt optimization.
  • Exposure on building evaluation frameworks for models.
  • Experience with ML ops elements : Model tracking (MLflow or similar),Experimentation workflows, Versioning + testing,AWS experience for model training + hosting.
  • Ability to work on : Model optimization,Latency / throughput tuning,Scalable inference architecture.

    • Preferred / good to have

  • Exposure on ASR / TTS models
  • Experience with : Conversation classification, Intent detection, Sentiment models.
  • Prior experience with deep learning frameworks (PyTorch, TensorFlow).
  • Knowledge of real-time inference systems.
  • Some understanding of Voice AI orchestration.
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    Machine Learning Engineer • junagadh, gujarat, in