A
AI QA Analyst (Manual testing-AI based tools )
ALLPS
Remote (Global) Full-time Yesterday
About the role
Responsibilities
- Work with developers/Product Manager to make sure that functional & non-functional requirements are addressed.
- Establish and improve metrics collection and reporting.
- Establish test effectiveness and efficiencies throughout the team.
- Incorporate research of industry trends and apply best practices in quality engineering practices used in the Data Warehouse process.
- Work in a collaborative environment and work with technical and non-technical team members equally well.
- Create test plans, test cases and other testing artifacts as necessary to ensure a systematic approach for guaranteeing the quality of our products and services.
- Created test plans and test cases.
- Document and report status on manual and automated test cases for functional and non-functional requirements.
Skills
- Proficient knowledge on AI Fundamentals, Programming, Data Handling, Testing Frameworks, Evaluation Metrics, Ethics & Compliance, Natural Language Processing.
- Expertise in writing test cases, testing the test scenarios, Prompt Testing & Performance Optimization.
- Good knowledge of Data Warehouse, Cloud-Based Databases, Data Lakes.
- Good exposure on Agile [Scrum] Software Development Methodology.
- Good experience in Cloud Services like Azure Databricks, Azure Synapse, Azure Data Factory.
- Good knowledge on STLC and SDLC.
- Good experience in Performance Testing, Scalability Testing, Latency Testing & Prompt Response Time/Response Quality.
- Proficient in Tableau, Power BI, GitHub/GitLab.
- Expertise in writing test cases and testing the test scenarios.
Must Have
- Testing experience – for hiring tools or AI‑based tools
Good to Have
- Strong knowledge of Machine Learning Principles, Algorithms, Version Control, Data Augmentation Tool, Bias Detection Tools, Content Moderation Tools.
- Good experience in Data Generation, Bias Detection & Mitigation.
- Experience of testing on any SaaS tool will be an added advantage
Benefits
- Competitive salary
- Collaborative and supportive work environment
Requirements
- testing experience - for hiring tools or AI based tools
Responsibilities
- Work with developers/ Product Manager to make sure that functional & non-functional requirements are addressed.
- Establish and improve metrics collection and reporting.
- Establish test effectiveness and efficiencies throughout the team.
- Incorporate research of industry trends and apply best practices in quality engineering practices used in the Data Warehouse process.
- Work in a collaborative environment and work with technical and non-technical team members equally well
- Create test plans, test cases and other testing artifacts as necessary to ensure a systematic approach for guaranteeing the quality of our products and services.
- Created test plans and test cases.
- Document and report status on manual and automated test cases for functional and non-functional requirements.
Benefits
health insurancedental insurancevision insurance
Skills
AI FundamentalsAgileAzure data bricksAzure Data FactoryAzure SynapseCloud ServicesData HandlingData LakesData WarehouseEvaluation MetricsGitHub/GitLabNatural Language ProcessingPerformance TestingPower BIProgrammingPrompt TestingScalability TestingSDLCSTLCTableauTesting Frameworks
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