HamburgerMenu
hirist

Senior AI Quality Assurance Engineer - Automation Testing Tools

Unetra HR Solutions LLP
Multiple Locations
7 - 10 Years

Posted on: 18/11/2025

Job Description

Description :

Role Details :


Job Title : AI QA Engineer.


Locations : Mumbai / Jaipur / Pune / Hyderabad / Bengaluru / Gurgaon.


Experience : 7 to 10 Years.


Notice Period : Immediate to 30 Days (including candidates serving notice).


Relocation : Can be considered.


Job Description.

We are seeking a highly skilled Senior AI QA Engineer across Mumbai, Jaipur, Pune, Hyderabad, Bengaluru, and Gurgaon to ensure the quality, accuracy, and reliability of advanced AI/ML-driven systems.

The ideal candidate will have strong expertise in validating AI models, testing ML pipelines, and driving automation within complex data workflows.

If you are passionate about ensuring AI systems perform with precision, this is the perfect opportunity.

Key Responsibilities :

- Validate end-to-end AI/ML pipelines, data workflows, model inference quality, and system reliability.

- Design and implement test strategies for LLMs, RAG pipelines, AI agents, and model integrations.

- Build and maintain automation frameworks using Python and industry-standard tools.

- Conduct model evaluation, statistical tests, data profiling, and bias detection.

- Ensure AI security, compliance, and robust deployment standards.

- Work closely with ML engineers, data engineers, and product teams to deliver high-quality AI solutions.

Required Experience :

- 7 to 10 years in Software QA / Quality Engineering.

- 3+ years in AI/ML testing, model validation, and data quality checks.

- Strong understanding of AI/ML concepts, architectures, algorithms, and LLM frameworks.

- Hands-on experience with LLM models (OpenAI, BERT, LLaMA, Gemini, etc.

- Knowledge of data engineering, RDBMS, NoSQL, and Vector Databases.

- Experience with RAG pipelines, AI agent frameworks, authentication, and deployment.

- Proficiency in Python, PyTest, Robot Framework, Selenium, and automation tools.

- Familiarity with AWS/Azure/GCP, APIs, CI/CD, and ML pipeline validation.

- Strong analytical, debugging, and collaboration skills.

- Bachelor's degree in Computer Science, Engineering, or related field.

Nice to Have :

- Prior product development exposure.

- Hands-on work with AI security and compliance frameworks.


info-icon

Did you find something suspicious?