While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in qualified but personal life, interests you- you would enjoy your career with Quantiphi
Role: Lead/Associate Lead – QA + MLOps & Generative AI
Experience: 10+ years
Location: Mumbai/Bangalore (Hybrid)

Key Responsibilities:
AI/ML & GenAI Testing Strategy (AWS Ecosystem)
Define testing approaches for AI systems built on AWS services such as:
- Amazon SageMaker
- Amazon Bedrock
- AWS Lambda
- Amazon API Gateway
- Amazon Kinesis
- AWS Glue
- Amazon S3
- Amazon CloudWatch

Design validation frameworks covering:
- Model accuracy & performance validation
- Data drift & concept drift detection
- Hallucination detection for LLMs
- Prompt robustness testing
- RAG validation (retrieval accuracy + grounding)
- Bias & fairness validation
- Safety & toxicity testing





MLOps Quality Engineering (AWS-Centric)
Validate the end-to-end ML lifecycle including:
- Data ingestion & feature pipelines
- Model training & hyperparameter tuning
- Model versioning & registry
- Deployment validation
- Canary & blue/green release validation

Work with AWS-native services such as:
- SageMaker Pipelines
- SageMaker Model Monitor
- SageMaker Feature Store
- Bedrock model evaluation workflows
- CloudWatch-based observability

Implement CI/CD quality gates for ML pipelines integrated with AWS DevOps tools.

GenAI & Agentic AI Testing
Define quality engineering approaches for:
- LLM-based applications using Amazon Bedrock
- Prompt engineering validation
- Multi-agent orchestration testing
- Chatbot & Voice bot conversational testing
- Intent classification validation
- Conversation drift & fallback validation
- API contract validation for LLM integrations

Build reusable evaluation h

📌 Associate Lead (Bengaluru)
🏢 Quantiphi
📍 Bengaluru