Job Description:
JD:
Proficiency in Python and related packages for image processing, data processing, and
automation testing.
Familiarity with machine/deep learning frameworks like TensorFlow, Keras, or PyTorch.
Understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle
(STLC), with a focus on AI-specific testing phases and activities.
Experience in testing AI-driven applications across diverse platforms.
Qualification:
Bachelor’s in Computer Science, Data Science, Machine Learning, or related fields.
1-3 years of experience in AI testing, deep learning, or quality assurance.
Proficiency in machine learning pipelines and Continuous Integration/Continuous Deployment
(CI/CD) pipelines tailored for AI development and testing workflows.
Knowledge of advanced image processing algorithms.
Experience with cloud computing platforms such as AWS or Azure, particularly in the context
of testing AI solutions in cloud environments.
Strong statistical analysis skills to evaluate model performance, validate results, and identify
potential issues during AI testing.
