Design, build, and scale AI-driven solutions that power real-time speech, voice, and GenAI capabilities across Stryker’s clinical communication platforms
Job Summary
Design, build, and scale AI-driven solutions that power real-time speech, voice, and GenAI capabilities across Stryker’s clinical communication platforms.
Integrate and operationalize speech-to-text, text-to-speech, NLP, and LLM-based models into production-grade backend services.
Build and maintain cloud-native AI pipelines on Azure, including model deployment, scaling, monitoring, and cost optimization.
Matching Summary
Design, build, and scale AI-driven solutions that power real-time speech, voice, and GenAI capabilities across Stryker’s clinical communication platforms.
Skills & Requirements
Must-have
Python for production ML services
Azure AI/ML operationalization
Speech, language, and GenAI use cases
Cloud-native AI pipelines on Azure
Modern AI/ML model architectures
Nice-to-have
Fine-tuning models for healthcare
Integrating third-party APIs
Java-based backend systems experience
Customer-facing discussions
Mentoring junior engineers
Key Requirements
5+ years of experience in software engineering
Bachelor’s degree in Computer Science or related field
Strong proficiency in Python
Solid understanding of machine learning, NLP, and LLMs
Experience deploying AI workloads on Microsoft Azure