Software Engineering Specialist

At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient’s mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds.

As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. To support our talent team, we focus on development opportunities, robust employee resource groups (ERGs), a flexible working environment, location specific competitive total rewards, wellness incentives and a culture of recognition and performance awards. We are committed to creating an environment where every team member feels included, respected, empowered and recognised.

What You Can Expect

Job Summary

The AI Software Engineer designs, builds, and maintains software systems that enable development, deployment, and scaling of AI and machine learning solutions. This role focuses on production-grade engineering rather than pure research, working closely with Data Scientists, MLOps Engineers, and Platform teams to turn models into reliable, secure, and performant applications.The role bridges software engineering, ML systems, and cloud-native infrastructure to support enterprise AI use cases.

Work Location: Bangalore

Work Mode: Hybrid (3 Days in office)

How You'll Create Impact

Key Responsibilities

AI Application & Systems Engineering

Design and develop AI-enabled applications and backend servicesIntegrate machine learning models into production systems via APIs and servicesBuild scalable, reliable, and testable software supporting AI workloads

Model Integration & Deployment

Collaborate with Data Scientists to productionize ML modelsPackage and deploy models using containerized and cloud-native architecturesSupport model serving, inference optimization, and versioning

Platform, Performance & Reliability

Optimize systems for latency, throughput, and cost efficiencyImplement monitoring, logging, and alerting for AI servicesLead root-cause analysis for production issues involving AI systems

Automation, CI/CD & DevOps

Build and maintain CI/CD pipelines for AI applications and servicesAutomate testing, deployment, and environment managementEnsure reproducibility and reliability across environments

Collaboration & Engineering Excellence

Partner with MLOps, Data Engineering, and Cloud teamsContribute to coding standards, documentation, and best practicesSupport secure, compliant, and responsible AI deployment

What Makes You Stand Out

Technologies & Tools

Programming & Software Engineering

Python (primary), with strong software engineering practicesRESTful API design and microservices architecture

Machine Learning & AI (Integration Level)

ML frameworks: PyTorch, TensorFlow, or scikit-learnModel serving frameworks (e.g., FastAPI, TorchServe, TF Serving)

Experience Integrating Inference Into Applications

Cloud & InfrastructureCloud platforms: AWS, Azure, or GCPContainerization: DockerOrchestration: KubernetesInfrastructure as Code: Terraform, ARM/Bicep, or CloudFormation

DevOps, CI/CD & Observability

CI/CD tools (GitHub Actions, GitLab CI, Azure DevOps, Jenkins)Monitoring and logging (Prometheus, Grafana, ELK, or cloud-native tools)Version control: Git

Data & Systems

SQL and data access patternsMessage queues and streaming platforms (Kafka, cloud equivalents)

Your Background

Preferred Qualifications

6+ years total engineering experienceExperience with real-time or low-latency inference systemsExperience working with MLOps pipelines and model lifecycle toolsExperience in enterprise or regulated environmentsCloud or AI-related certifications (preferred)

Core Competencies

Strong software engineering fundamentalsSystems thinking and performance optimizationAbility to collaborate across research and engineering teamsClear communication and documentation skillsOwnership mindset for production reliability

Physical Requirements

Travel Expectations

EOE/M/F/Vet/Disability