Work Flexibility: Hybrid or OnsiteVocera, 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 team. In this role, you will design, build, and scale AI-driven solutions that power real-time speech, voice, and GenAI capabilities across Stryker’s 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 DoCore ResponsibilitiesDesign, 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 processingIntent detection and entity extractionConversational AI and virtual assistantsSummarization, semantic search, and RAG-based workflowsFine-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.Contribute to technical documentation, design reviews, and architecture discussions.Participate in customer-facing discussions (Voice of Customer) to align AI solutions with real-world usage and feedback.Actively contribute to innovation through patents, invention disclosures, or internal IP creation.Mentor junior engineers and raise the overall AI/ML engineering maturity of the team.Required QualificationsBachelor’s degree in Computer Science, Software Engineering, or a related field.3-10 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 QualificationsAI / ML & GenAIHands-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, and TensorFlow.Exposure to sentiment analysis, intent recognition, semantic search, or conversational AI.Cloud & PlatformStrong experience with Azure services, such as:Azure OpenAIAzure MLAzure Functions / Container AppsAzure AI SearchStorage, monitoring, and security servicesExperience 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.Engineering & CollaborationExperience integrating third-party APIs and AI services.Background in Java-based backend systems is a plus.Strong documentation, design review, and cross-team collaboration skills.Comfortable working in an Agile development environment.Travel Percentage: 10%