Ai/Ml Testing-Ai, Ml, Deep Learning, Data Mining, Analytics
Zensar Technologies
2 months ago
On-site
Chennai, Tamil Nadu, India
Tunnelling & Mining Overseas
Responsibilities
Qualifications
- Design and validate AI-driven QE solutions involving RAG pipelines, LLM integrations, and data workflows
- Develop and execute data validation strategies across structured/unstructured databases
- Ensure data quality, consistency, and integrity for AI/ML models and test datasets
- Work with vector databases (e.g., Pinecone, FAISS, Weaviate) and traditional DBs (SQL/NoSQL)
- Validate ETL/data pipelines and API-driven data exchanges
- Collaborate with AI/ML engineers to test model outputs, prompts, and retrieval accuracy
- Build automated validation frameworks for data-heavy applications
- Support performance and scalability testing of data systems
Qualifications
- 4+ years of strong hands-on experience with SQL, NoSQL, and data validation techniques
- Exposure to RAG architecture, embeddings, vector search concepts
- Experience with Python scripting for data validation/testing
- Understanding of AI/ML testing approaches (prompt validation, output evaluation)
- Familiarity with API testing (REST, JSON validation)
- Knowledge of data pipelines, ETL processes