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 services
- Integrate machine learning models into production systems via APIs and services
- Build scalable, reliable, and testable software supporting AI workloads
Model Integration & Deployment
- Collaborate with Data Scientists to productionize ML models
- Package and deploy models using containerized and cloud-native architectures
- Support model serving, inference optimization, and versioning
Platform, Performance & Reliability
- Optimize systems for latency, throughput, and cost efficiency
- Implement monitoring, logging, and alerting for AI services
- Lead root-cause analysis for production issues involving AI systems
Automation, CI/CD & DevOps
- Build and maintain CI/CD pipelines for AI applications and services
- Automate testing, deployment, and environment management
- Ensure reproducibility and reliability across environments
Collaboration & Engineering Excellence
- Partner with MLOps, Data Engineering, and Cloud teams
- Contribute to coding standards, documentation, and best practices
- Support secure, compliant, and responsible AI deployment
What Makes You Stand Out
Technologies & Tools
Programming & Software Engineering
- Python (primary), with strong software engineering practices
- RESTful API design and microservices architecture
Machine Learning & AI (Integration Level)
- ML frameworks: PyTorch, TensorFlow, or scikit-learn
- Model serving frameworks (e.g., FastAPI, TorchServe, TF Serving)
Experience Integrating Inference Into Applications
- Cloud & Infrastructure
- Cloud platforms: AWS, Azure, or GCP
- Containerization: Docker
- Orchestration: Kubernetes
- Infrastructure 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 patterns
- Message queues and streaming platforms (Kafka, cloud equivalents)
Your Background
Physical Requirements
Travel Expectations
EOE/M/F/Vet/Disability
