AI & Automation Quality Engineer - Officer
Tasks
- Apply prompt engineering and model evaluation
- Build RAG based systems
- Build analytics dashboards and KPI tracking
- Build automated test suites for functional regression api end to end
- Build defect prediction and quality forecasting models
- Clean and transform data
- Collaborate with product developers and DevOps teams
- Conduct code reviews and enforce best practices
- Create intelligent test data
- Design data validation frameworks for data pipelines
- Design scalable automation frameworks
- Detect anomalies and predict defects
- Develop AI copilots and conversational test frameworks
- Develop AI driven testing solutions
- Develop reusable automation libraries
- Evaluate and onboard new tools and emerging technologies
- Generate test cases with LLMs
- Implement agentic workflows for orchestration
- Integrate Hugging Face models and LLM APIs
- Integrate automation into CI/CD pipelines
- Lead automation strategy and framework standardization
- Manage defects and track quality metrics
- Participate in agile ceremonies and lead test strategy
- Perform exploratory data analysis
- Perform feature engineering and model evaluation
- Plan and execute tests
- Translate requirements into automation and AI solutions
- Validate databases with SQL queries
Perks/Benefits
Skills/Tech-stack
Azure DevOps | CI/CD | Cucumber | Dashboards | Data Visualization | Embeddings | Excel | Faiss | Git | GitHub | GitHub Actions | Hugging Face | Java | JavaScript | Jenkins | Jupyter Notebook | LLM APIs | Langchain | Langgraph | Language Processing | Machine Learning | Natural Language | Natural Language Processing | NumPy | Pandas | Pinecone | Playwright | Plotly | Prompt engineering | Python | RAG | REST API | SOAP | SQL | Scikit-learn | Selenium | Streamlit | TestNG | Transformers | TypeScript | Vector Databases
Education
N/A
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