AI Engineer
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Architect AI products
- Automate legacy code modernization
- Automate technical documentation generation
- Build AI models
- Build batch-processing pipelines
- Build serverless AI microservices
- Deploy AI products to production
- Design prompt architectures
- Design robust APIs
- Develop NLP pipelines
- Establish CI CD pipelines for AI assets
- Fine-tune models
- Implement automated testing
- Implement cost optimization for inference
- Implement rag pipelines
- Integrate AI services into enterprise systems
- Maintain technical documentation
- Monitor model performance
- Optimize inference performance
- Track and attribute AI workload costs
Perks/Benefits
Skills/Tech-stack
AST | BigQuery | CI/CD | ChromaDB | Cloud Functions | Cloud Monitoring | Cloud Run | Cloud platform | Code Analysis | Docker | FinOps | GKE | GRPC | Google Cloud | Google Cloud Platform | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Microservices | Model Monitoring | Natural Language | Natural Language Processing | OpenTelemetry | Pinecone | Python | RAG | REST APIs | Retrieval-Augmented Generation | Serverless | Static Code Analysis | Vector Databases | Vector Search | Vertex AI | Vertex Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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