Principal Engineer – Ai / Ml (speech, Voice & Genai Architecture)

Stryker Corporation

Bengaluru, India
**
Ai/ml architecture for speech, voice, and genai
Real-time speech processing pipelines
Rag-based systems and llm orchestration
** Stryker Corporation is seeking a Principal Engineer specializing in AI/ML to lead the architectural design and strategy for their AI-powered speech and voice intelligence platforms. The role requires extensive experience in speech technologies and modern machine learning systems, particularly in cloud environments like Microsoft Azure. **

Job Summary

  • Define and own the end-to-end AI/ML architecture for speech, voice intelligence, and GenAI platforms.
  • Design enterprise-grade, cloud-native AI systems on Microsoft Azure, ensuring performance SLAs and compliance.
  • Provide architectural guidance across multiple pods and teams, mentoring senior engineers and driving innovation.

Matching Summary

Match Score: 75

** Stryker Corporation is seeking a Principal Engineer specializing in AI/ML to lead the architectural design and strategy for their AI-powered speech and voice intelligence platforms. The role requires extensive experience in speech technologies and modern machine learning systems, particularly in cloud environments like Microsoft Azure. **

Skills & Requirements

Must-have

  • AI/ML architecture for speech, voice, and GenAI
  • Real-time speech processing pipelines
  • RAG-based systems and LLM orchestration
  • Cloud-native AI on Microsoft Azure
  • Enterprise-grade AI system design
  • Speech and voice intelligence solutions
  • GenAI and LLM systems leadership

Nice-to-have

  • Innovation initiatives and patents
  • Translate technical vision to business value
  • Elevate AI engineering maturity
  • Responsible AI practices

Key Requirements

  • 12+ years in software engineering with substantial AI/ML experience
  • 6+ years designing and deploying production-grade AI/ML architectures
  • Deep expertise in speech technologies, NLP, and LLM systems
  • Proficiency in Python and AI frameworks (PyTorch, TensorFlow)
  • Proven experience architecting AI workloads on Microsoft Azure
  • Strong background in distributed systems and backend architecture
  • Demonstrated experience leading architecture decisions across multiple teams

Work Rights

Not specified

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