Analyst-KDNI
INR 300K-360K (estimate) Entry-level Full Time
Tasks
- Apply MLOps model versioning and observability
- Build agent based AI applications
- Build full stack user interfaces
- Build real time interactions with webhooks
- Containerize services with Docker
- Develop backend services and APIs
- Develop microservices on cloud platforms
- Develop retrieval-augmented generation systems
- Implement OAuth2 and JWT authentication
- Implement memory augmented agents
- Implement vector and semantic search
- Integrate LLM APIs
- Integrate relational and NoSQL databases
- Maintain clean code and SDLC documentation
- Orchestrate deployments with Kubernetes
- Use knowledge graphs for relationship mapping
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Neptune | Amazon Web Services | Argo CD | Azure | Azure AI | CSS3 | Docker | Faiss | FastAPI | Flask | Google Cloud | Google Gemini | HTML5 | JWT | Java | JavaScript | Knowledge graphs | Kubernetes | Language Processing | MLflow | Machine Learning | Microservices | Milvus | MongoDB | MySQL | Natural Language | Natural Language Processing | Neo4j | Next.js | Node.js | OAuth2 | OpenAI | Pinecone | PostgreSQL | Prometheus | Python | REST APIs | React | Retrieval-Augmented Generation | Snowflake | Spring Boot | TypeScript | Vector Search | Weaviate | Web Services | Webhooks
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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