Analyst-KDNI
Bangalore, Karnataka, India
INR 300K-360K (estimate) Entry-level Full Time
Tasks
- Apply MLOps model versioning
- Build agent-based applications
- Build backend services
- Build data models with SQL and NoSQL databases
- Design and containerize services with Docker
- Develop microservices
- Develop user interface components
- Document and maintain APIs
- Enable real time interactions with APIs
- Implement retrieval-augmented generation
- Implement secure authentication using OAuth2 and JWT
- Implement vector semantic search
- Integrate LLM APIs
- Leverage knowledge graphs
- Orchestrate deployments with Kubernetes
- Use observability with Prometheus
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon Neptune | ArgoCD | Azure | Azure AI | CSS3 | Clean Code | Docker | Faiss | FastAPI | Flask | GCP | Google Gemini | HTML5 | JWT | Java | Knowledge graphs | Kubernetes | MLflow | Microservices | Milvus | MongoDB | MySQL | Neo4j | Next.js | Node.js | OAuth2 | OpenAI API | Pinecone | PostgreSQL | Prometheus | Python | RAG | REST API | React | Retrieval-Augmented Generation | Snowflake | Spring Boot | TypeScript | Vector Databases | Weaviate | Webhooks
Education
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