S

Senior Engineer - AI/ML

icon building Company : Stryker
icon briefcase Job Type : Full Time
icon geo-alt Karnataka, Bengaluru Old No 62

Job Description - Senior Engineer - AI/ML

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 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.

Required Qualifications
  • Bachelor’s 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%

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