Description

You will validate Generative AI models and lead quality strategies across functional teams.

This role is on-site.

Responsibilities

• Validate Generative AI models including GPT and DALL-E.
• Verify training data integrity and implement bias detection processes.
• Apply prompt engineering and work directly with LLMs.
• Coordinate quality strategies and lead testing projects across teams.
• Utilize synthetic data testing techniques and data annotation tools.

Required Skills

• 5+ years of experience in QA engineering with a focus on AI/ML systems.
• Strong programming skills in Python or Java.
• Hands-on experience with PyTest, Selenium, or JUnit.
• Familiarity with TensorFlow, PyTorch, or Hugging Face.
• Experience testing RESTful APIs using Postman.
• Knowledge of CI/CD tools such as Jenkins, GitHub Actions, or GitLab.
• Understanding of NLP, computer vision, or multimodal models.
• Bachelor's degree in Computer Science, Software Engineering, or a similar field.

Preferred Skills

• Experience with data annotation tools and quality control processes.

Key Skills

Education

Any Graduate