Senior Engineer - AI/ML

Company : Stryker

Job Type : Full Time

Karnataka, Bengaluru Old No 62

Number of Applicants

000+

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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%

Original job Senior Engineer - AI/ML posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.

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Senior Engineer - AI/ML

Job Description - Senior Engineer - AI/ML

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