AI Manager
Bengaluru, Karnataka, India
INR 2000K-3300K (estimate) Mid-level Full Time
Tasks
- Architect end-to-end AI systems
- Define and evolve MLOps standards
- Deploy and monitor production AI systems
- Design data pipelines and training pipelines
- Drive integration of AI solutions into existing systems
- Establish coding standards and best practices
- Implement automated testing and monitoring
- Lead and mentor AI/ML engineering team
- Manage CI CD for ML
- Oversee end to end AI development lifecycle
- Plan projects and manage resources
- Recruit talent and drive retention
- Support engineers with design prototyping and troubleshooting
- Use infrastructure as code to automate deployments
Perks/Benefits
Skills/Tech-stack
APIs | Agent-based | Agent-based systems | Automated testing | CI/CD | Cloud Computing | Containers | Data Pipelines | Infrastructure as Code | LLMs | MLOps | Machine Learning | Microservices | Model Governance | Model Monitoring | Python | “as-code”
Education
Roles
AI | AI Engineering | AI Engineering Manager | Engineering | Engineering Manager | Manager
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