AI Platform Engineering MLOpsDevOps
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
- Design scalable secure and reliable infrastructure to support AI/ML workloads
- Build and implement MLOps pipelines to streamline model development testing and deployment
- Manage the end-to-end lifecycle of ML models from development through retirement
- Set up monitoring and observability systems to track model performance drift and health in production
- Implement governance controls to ensure AI systems are compliant auditable and responsibly managed
- Integrate AI/ML platforms and models with existing enterprise systems and workflows
Requirements
- 6 years of relevant experience in AI platform engineering MLOps or DevOps roles
- Strong hands-on experience in AI infrastructure architecture and design
- Proven expertise in MLOps implementation and CI/CD pipelines for ML
- Solid understanding of model lifecycle management practices
- Experience with model monitoring and observability tools and frameworks
- Familiarity with AI governance controls and compliance requirements
- Experience with integration with enterprise systems (APIs data pipelines cloud platforms)