Senior AI Quality Assurance Engineer with ML and Data Validation Expertise

Job Description

Job Title: AI QA Engineer

Position - AI QA

Exp - 7 to 10 yrs

Budget - 32 LPA Max

Notice period- Immediate to 30days(Who are serving or on np)

Relocation can be considered.

Job Description:

We are seeking a highly skilled AI QA Engineer with strong experience in validating AI/ML systems and ensuring model quality, reliability, and performance. The ideal candidate will have hands-on expertise in testing AI pipelines, model outputs, data workflows, and automation frameworks.

• Min 7+ years of experience in software quality engineering & assurance.
• Min 3+ years of Quality engineering experience in AI/ML projects
• Solid understanding of and experience in Data engineering 
• Thorough understanding of AI, Machine Learning concepts, architecture and algorithms.
• Good understanding of LLM frameworks
• LLMs models (OpenAI, BERT, LLaMA, Gemini etc.)
• RDBMS, No SQL database, Vector DB
• RAG Pipelines
• AI Agent Frameworks
• AI agent authentication and Deployment
• AI security and compliance
• Proficiency in programming languages such as Python.
• Experience with testing frameworks and tools (e.g., pytest, Selenium)
• Product development experience preferred.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities
• Bachelor's degree in computer science, Engineering, or a related field."
•  

Required Skills:

• Strong QA background with 7–10 years of testing experience.
• Hands-on experience in AI/ML testing, model validation, and data quality checks.
• Proficiency in Python, test automation frameworks (PyTest, Robot, etc.).
• Experience with ML pipelines, cloud platforms (AWS/Azure/GCP), APIs, and CI/CD tools.
• Knowledge of statistical testing, model evaluation metrics, and data profiling.
• Excellent analytical, debugging, and communication Skills.