Senior Engineer

Work Flexibility: Hybrid or Onsite

Job Description:

Vocera, now part of Stryker, is looking for a highly skilled and hands-on Senior Staff or Staff 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 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.

• 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 Qualifications- Bachelor’s degree in Computer Science, Software Engineering, or a related field.

• 5+ 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, Lang Chain, MLflow, Py Torch, Tensor Flow.
• 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.
• Engineering & Collaboration- Experience 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%