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mimi

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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