Work Flexibility: Hybrid
Vocera now part of Stryker is looking for a highly skilled and hands-on Senior Engineer AI/ML to join our AI platform and speech applications this role you will design build and scale AI-driven solutions that power real-time speech voice and GenAI capabilities across Strykers clinical communication platforms.
This is a hands-on engineering role for someone who has a strong understanding of modern AI/ML models is fluent in Python and has deep experience building and operationalizing AI systems on Microsoft Azure.
What You Will Do
Core Responsibilities
- Design develop and deploy AI/ML-powered applications with a focus on speech language and GenAI use cases.
- 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.
- Develop AI-driven features such as:
- Voice transcription and real-time speech processing
- Intent detection and entity extraction
- Conversational AI and virtual assistants
- Summarization semantic search and RAG-based workflows
- Fine-tune and adapt models for domain-specific vocabulary accents noisy environments and healthcare contexts.
- Collaborate closely with backend engineers product owners UX teams and platform teams to deliver end-to-end AI features.
- Make independent architecture and design trade-off decisions across multiple components and services.
- Drive engineering best practices around testing reliability observability and security for AI systems.
Required Qualifications
- Bachelors degree in Computer Science Software Engineering or a related field.
- 2 years of experience in software engineering with significant hands-on work in AI/ML systems.
- Strong proficiency in Python with experience building production-grade ML or AI services.
- Solid understanding of machine learning NLP and modern AI model architectures including LLMs.
- Experience deploying and operating AI workloads on Microsoft Azure.
- Strong engineering fundamentals: system design APIs data pipelines scalability and reliability.
Preferred / Strongly Desired Qualifications
AI / ML & GenAI
- Hands-on experience with LLMs NLP pipelines RAG architectures prompt engineering and model evaluation.
- Experience integrating or fine-tuning speech models (ASR/TTS) for real-world applications.
- Familiarity with frameworks and tools such as Azure OpenAI Azure ML LangChain MLflow PyTorch TensorFlow.
- Exposure to sentiment analysis intent recognition semantic search or conversational AI.
Cloud & Platform
- Strong experience with Azure services such as:
- Azure OpenAI
- Azure ML
- Azure Functions / Container Apps
- Azure AI Search
- Storage monitoring and security services
- Experience designing cloud-native scalable and secure architectures.
- Familiarity with Docker Kubernetes CI/CD and ML lifecycle management.
- Exposure to AWS or GCP is a plus.
Travel Percentage: 10%
Required Experience:
Senior IC
Work Flexibility: HybridVocera now part of Stryker is looking for a highly skilled and hands-on Senior Engineer AI/ML to join our AI platform and speech applications this role you will design build and scale AI-driven solutions that power real-time speech voice and GenAI capabilities across Stryke...
Work Flexibility: Hybrid
Vocera now part of Stryker is looking for a highly skilled and hands-on Senior Engineer AI/ML to join our AI platform and speech applications this role you will design build and scale AI-driven solutions that power real-time speech voice and GenAI capabilities across Strykers clinical communication platforms.
This is a hands-on engineering role for someone who has a strong understanding of modern AI/ML models is fluent in Python and has deep experience building and operationalizing AI systems on Microsoft Azure.
What You Will Do
Core Responsibilities
- Design develop and deploy AI/ML-powered applications with a focus on speech language and GenAI use cases.
- 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.
- Develop AI-driven features such as:
- Voice transcription and real-time speech processing
- Intent detection and entity extraction
- Conversational AI and virtual assistants
- Summarization semantic search and RAG-based workflows
- Fine-tune and adapt models for domain-specific vocabulary accents noisy environments and healthcare contexts.
- Collaborate closely with backend engineers product owners UX teams and platform teams to deliver end-to-end AI features.
- Make independent architecture and design trade-off decisions across multiple components and services.
- Drive engineering best practices around testing reliability observability and security for AI systems.
Required Qualifications
- Bachelors degree in Computer Science Software Engineering or a related field.
- 2 years of experience in software engineering with significant hands-on work in AI/ML systems.
- Strong proficiency in Python with experience building production-grade ML or AI services.
- Solid understanding of machine learning NLP and modern AI model architectures including LLMs.
- Experience deploying and operating AI workloads on Microsoft Azure.
- Strong engineering fundamentals: system design APIs data pipelines scalability and reliability.
Preferred / Strongly Desired Qualifications
AI / ML & GenAI
- Hands-on experience with LLMs NLP pipelines RAG architectures prompt engineering and model evaluation.
- Experience integrating or fine-tuning speech models (ASR/TTS) for real-world applications.
- Familiarity with frameworks and tools such as Azure OpenAI Azure ML LangChain MLflow PyTorch TensorFlow.
- Exposure to sentiment analysis intent recognition semantic search or conversational AI.
Cloud & Platform
- Strong experience with Azure services such as:
- Azure OpenAI
- Azure ML
- Azure Functions / Container Apps
- Azure AI Search
- Storage monitoring and security services
- Experience designing cloud-native scalable and secure architectures.
- Familiarity with Docker Kubernetes CI/CD and ML lifecycle management.
- Exposure to AWS or GCP is a plus.
Travel Percentage: 10%
Required Experience:
Senior IC
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