Senior AI & Automation Quality Engineer - Senior Associate
Tasks
- Apply prompt engineering and model evaluation
- Build RAG based systems
- Build analytics dashboards and KPI tracking
- Build automated test suites
- Build defect prediction and quality forecasting models
- Clean and transform data
- Collaborate with product development and DevOps teams
- Conduct code reviews and enforce best practices
- Create intelligent test data
- Design AI-driven testing solutions
- Design data validation frameworks
- Design scalable test automation frameworks
- Develop agentic workflows
- Develop reusable automation components
- Engineer features
- Generate test cases with LLMs
- Implement anomaly detection and defect prediction
- Integrate Hugging Face models and LLM APIs
- Integrate automation into CI/CD pipelines
- Lead automation strategy
- Manage defects and reporting
- Onboard new tools and frameworks
- Participate in agile ceremonies and test strategy
- Perform exploratory data analysis
- Plan and execute tests
- Validate data with SQL queries
Perks/Benefits
- Employee networks
- Flexible work/life support
- Inclusive development opportunities
- Paid volunteer days
Skills/Tech-stack
Azure | Azure DevOps | BDD | CI/CD | Cucumber | Data Analysis | Data Structures | Data cleaning | Databricks | Design Patterns | Embeddings | Excel | Exploratory Data Analysis | Faiss | Feature Engineering | Forecasting | Git | GitHub | GitHub Actions | Hugging Face | Java | JavaScript | Jenkins | Jupyter Notebook | LLM API | Langchain | Langgraph | Machine Learning | Model Evaluation | NLP | NumPy | OOP | OpenAI | Pandas | Pinecone | Playwright | Plotly | Prompt engineering | Python | RAG | REST API | SOAP | SQL | SQL validation | Scikit-learn | Selenium | Snowflake | Streamlit | Supervised Learning | TestNG | Transformers | TypeScript | Unsupervised Learning | Vector Databases
Education
N/A
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