Senior Architect, Quality Engineering
Pune, Maharashtra, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect AI quality engineering platforms using LLMs
- Architect LLM evaluation and guardrails
- Build MLOps deployment monitoring and retraining pipelines
- Build backend services and APIs for model inference and evaluation
- Build document understanding and QA automation
- Build model fine tuning pipelines with LoRA and PEFT
- Design OCR based document processing systems
- Design RAG pipelines
- Design embedding pipelines
- Design microservice based AI system architectures
- Design prompt-engineering workflows
- Design vector storage solutions
- Develop data pipelines for AI workflows
- Enable model observability performance monitoring and version control
- Evaluate and integrate open-source models
- Evaluate model performance reliability and hallucination mitigation
- Implement CI CD pipelines for AI systems
- Implement vectorization for documents test artifacts and knowledge bases
- Integrate OCR with embedding and AI workflows
- Manage training datasets and evaluation metrics
- Optimize chunking and indexing strategies
- Optimize token efficiency cost and performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Chunking | Docker | Embeddings | Faiss | FastAPI | Flask | GCP | Guardrails | Indexing | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | MLOps | Microservices | Milvus | Model Evaluation | Model Monitoring | Node.js | OCR | Observability | PEFT | PaddleOCR | Pinecone | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Semantic Search | Tesseract OCR | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Architect | Architect | Senior Software Architect | Software Architect
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