Senior AI/ML Engineer - Test Automation | RAG | Self-Healing | LLM
USD 135K-189K (estimate) Senior-level Full Time
Tasks
- Build RAG pipeline for BRD to test plan generation
- Build defect clustering and root cause pattern recognition
- Collaborate with AI governance teams on model approvals and access
- Develop self healing element identification models
- Ensure AI models follow AI governance requirements
- Implement risk based regression optimization
- Produce explainable AI outputs with confidence scores
- Version control AI models with rollback and audit trails
Perks/Benefits
- Career progression pathways
- Continuous upskilling
- Onsite and offsite collaboration
- Performance linked incentives
Skills/Tech-stack
Bias detection | Cause analysis | ChromaDB | Data handling | Defect Clustering | Dynamic Element Locators | Element Locators | Embeddings | Explainable AI | Language Model | Language Processing | Large Language Model | Machine Learning | Natural Language | Natural Language Processing | PII data | PII data handling | Pinecone | Python | Retrieval-Augmented Generation | Risk based regression | Risk-based | Root Cause Analysis | Root cause | Self-healing | Self-healing test automation | Test automation | Vector Database | Weaviate
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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