About the Role
We're looking for a Test Engineer AIML who can operate at the intersection of Data Engineering, BI Testing, and AI/ML validation.
This role goes beyond traditional QA you will validate LLMs, NLP pipelines, GenAI features, and data pipelines powering modern AI applications.
MustHave Skills
- 5+ years in Data Testing / BI / ETL Testing
- Strong SQL for deep data validation
- Experience testing DWH/Data Lake (Redshift, Snowflake, Azure/GCP/AWS data platforms)
- Handson with BI validation (Qlik/Power BI/Tableau)
- Experience with NLP/LLM/AI-based workflows
- Ability to test ML/GenAI outputs (LLM prompts, embeddings, evaluation metrics)
- Python/Shell scripting for data validation
Good to Have
- RAG testing experience
- Data Quality & Metadata Management
- ISTQB Advanced / Power BI / AWS Data Analytics / Snowflake certifications
- Exposure to MLOps or AI model lifecycle
Why This Role Is Unique
- You'll work at the frontier of AI Testing + Data Quality Engineering
- Direct exposure to LLMs, GenAI applications, NLP models, and enterprise AI platforms
- Opportunity to influence AI model reliability, trust, and safety
- Work with cuttingedge cloud platforms & advanced data systems
- Fastgrowing space with huge career potential (AIML QA is one of the hottest emerging skillsets)
Interested Let's Talk.
If you're passionate about AI, data, quality engineering, and want to shape the future of trustworthy AI we'd love to meet you.
