Manager (AI Hub - GDC)
INR 1800K-3000K (estimate) Mid-level Full Time
Tasks
- Conduct generative AI knowledge sharing sessions
- Define agile AI project roadmaps
- Deploy and scale AI systems
- Design end-to-end AI applications
- Develop AI system components
- Enforce security best practices
- Ensure data flow quality governance
- Ensure scalability reliability maintainability security
- Implement CI/CD frameworks
- Implement versioning rollback monitoring
- Integrate commercial and open-source tools
- Lead AI application implementation
- Lead reference architecture design
- Manage project goals resources risks
- Mentor engineering teams
- Oversee AI ML project planning execution delivery
- Oversee AI application lifecycle development testing deployment optimization
- Translate business objectives into AI requirements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Kafka | CI/CD | CNN | Cassandra | Cloud platform | CloudFormation | Convolutional Neural Networks | Deep learning | Distributed Systems | Docker | Event Driven | Event-driven architecture | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | GraphQL | Infrastructure as Code | Jenkins | Keras | Kubernetes | LSTM | Language Processing | Long Short-Term Memory | MLOps | Microservices | Microsoft Azure | MongoDB | NLP | Natural Language | Natural Language Processing | Neural Networks | NoSQL | PostgreSQL | PyTorch | Python | REST APIs | RNN | RabbitMQ | Recurrent Neural Networks | SQL | Short Term Memory | TensorFlow | Terraform | Transformers | “as-code”
Roles
AI | AI Engineering | AI Engineering Manager | AI Tech Lead | Engineering Manager | Lead | Manager | Tech Lead
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