Senior Engineer

Stryker Corporation; India; On-site; Confidential; Full time

Benefits offered by this job

Hybrid work options

Travel opportunities

Job summary

Stryker Corporation is seeking a Senior Engineer - AI/ML to join the AI platform and speech applications team. You will design, build, and scale AI-driven solutions powering real-time speech, voice, and GenAI capabilities across Stryker’s clinical communication platforms.

The role is hybrid or onsite, requiring strong Python skills and hands-on experience with Azure-based AI systems. You will deploy and operate AI workloads, collaborate with product and backend teams, and drive best practices

Qualifications

• Proficiency in Python and production-grade ML/AI services.

Responsibilities

• Design, develop, and deploy AI-ML powered applications focusing on speech, language, and GenAI use cases.
• Integrate speech-to-text, text-to-speech, NLP, and LLM models into backend services.
• Build scalable cloud-native AI pipelines on Azure with deployment, monitoring, and cost optimization.
• Fine-tune models for healthcare vocabularies and real-world accents.
• Mentor engineers and contribute to architecture and code reviews.

Skills

Python

AI/ML systems

NLP

LLMs

Azure

Education

Bachelor’s degree in Computer Science/Software Engineering

Tools

Azure OpenAI

Azure ML

LangChain

MLflow

PyTorch

TensorFlow

Docker

Kubernetes

Job description

Work Flexibility: Hybrid or Onsite 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.
• 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.
• 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 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, and 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.
• 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%

Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World's Best Workplaces!

Work Flexibility Options

Remote - Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location.

Field-based - You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field-based.

Onsite - Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category.

Hybrid - You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co-located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.