Manager (AI Hub - GDC)
INR 1800K-2500K (estimate) Mid-level Full Time
Tasks
- Build agile project roadmaps
- Build data ingestion pipelines
- Conduct testing and optimization
- Containerize and deploy AI systems
- Define system components
- Deliver AI solution
- Design end-to-end AI applications
- Design reference architectures for AI applications
- Enforce security best practices
- Ensure data flows quality and governance
- Implement AI applications
- Implement CI/CD frameworks
- Implement monitoring systems
- Integrate commercial and open-source tools
- Manage AI and ML projects
- Oversee AI application development lifecycle
- Provide engineering mentorship
- Run generative AI knowledge sharing sessions
- Scale AI deployments in cloud
- Set up model training environments
- Translate business objectives into technical requirements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Kafka | Autogen | Best practices | CI/CD | CNN | Cassandra | Cloud platform | CloudFormation | CrewAI | Deep learning | Distributed Systems | Docker | ELK Stack | Event Driven | Event-driven architecture | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | Grafana | Graph RAG | GraphQL | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Jenkins | Keras | Kubernetes | LSTM | Langgraph | Language Processing | Machine Learning | Microservices | Microsoft Azure | MongoDB | Monitoring and Logging | Natural Language | Natural Language Processing | PostgreSQL | Prometheus | PyTorch | Python | REST APIs | RNN | RabbitMQ | SQL | Security best practices | TensorFlow | Terraform | Transformers | Version control | “as-code”
Roles
AI | AI Engineering | AI Engineering Manager | AI Tech Lead | Engineering Manager | Lead | Manager | Tech Lead
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