Senior Engineer

Stryker Group; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Stryker Group's Vocera division seeks a Senior Engineer – AI/ML to design, build, and scale AI-driven solutions powering real-time speech, voice, and GenAI across clinical communication platforms in Bengaluru.

You will develop cloud-native AI pipelines on Azure, deploy and monitor models, fine-tune for healthcare contexts, and collaborate with backend, product, and UX teams to deliver end-to-end features.

Qualifications

• Minimum 3–10 years of hands-on software engineering with AI/ML systems.
• Strong Python proficiency and production ML experience.
• Experience deploying AI workloads on Microsoft Azure.

Responsibilities

• Design, develop, and deploy AI/ML powered apps focusing on speech, NLP, and GenAI.
• Integrate speech-to-text, text-to-speech, NLP, and LLM models into backend services.
• Build cloud-native AI pipelines on Azure including deployment, scaling, monitoring.
• Fine-tune models for domain vocabulary and healthcare contexts.
• Collaborate with backend, product, UX and platform teams to deliver end-to-end features.
• Drive testing, reliability, observability, and security for AI systems.
• Mentor junior engineers and contribute to architectural discussions.

Skills

Python

ML/NLP/LLMs

Azure AI deployments

APIs & data pipelines

Education

Bachelor’s degree in CS/Software Eng or related field

Tools

Azure OpenAI

Azure ML

LangChain

MLflow

PyTorch

TensorFlow

Docker

Kubernetes

Job description

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.