Assistant Manager - SA2 (AI Hub - GDC)
INR 1400K-2200K (estimate) Mid-level Full Time
Tasks
- Apply scalability reliability maintainability and security best practices
- Build data ingestion pipelines
- Conduct generative AI knowledge sharing sessions and workshops
- Define system components for AI platforms
- Deploy and scale AI systems
- Design agile project roadmaps
- Design end-to-end AI applications
- Enforce security and data privacy best practices
- Ensure data flows quality and governance
- Implement monitoring systems
- Integrate commercial and open-source tools
- Lead AI application implementation
- Lead reference architectures for AI applications
- Manage project goals resources and risks
- Manage versioning rollback and monitoring
- Oversee AI application lifecycle
- Oversee project planning, execution, and delivery
- Provide engineering mentorship
- Set up continuous integration continuous deployment for AI systems
- Train models in model training environments
- Translate business objectives into technical requirements
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Development | Apache Kafka | Autogen | Azure | CI/CD | CNN | Cassandra | Cloud platform | CloudFormation | CrewAI | Deep learning | DevOps | Distributed Systems | Docker | ELK Stack | Event Driven | Event-driven architecture | Fine Tuning | GitLab CI | GitLab CI/CD | Google Cloud | Google Cloud Platform | Grafana | GraphQL | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Jenkins | Keras | Kubernetes | LLMOps | LSTM | Langgraph | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Microservices | Model Training | MongoDB | Monitoring | NLP | NoSQL | OpenAI API | PostgreSQL | Prometheus | PyTorch | Python | REST APIs | RNN | RabbitMQ | SQL | TensorFlow | Terraform | Transformers | Version control | “as-code”
Education
Roles
AI | AI Tech Lead | Architect | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Software Architect | Tech Lead
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