September 24, 2024

Ares data private limited

FULL TIME & OTHER

AI ML testing

Job Title: AI/ML Testing
Location: Work from Customer Office – Chennai, Pune, or Bangalore
Experience: 6+ years
Job Description:
We are looking for an experienced AI/ML Testing Specialist to join our team. The candidate will be responsible for testing AI/ML models, algorithms, and software applications. This role involves working closely with data scientists and developers to ensure the quality and performance of AI/ML solutions through rigorous testing practices. The ideal candidate will have expertise in testing frameworks, Python programming, and cloud platforms used for AI/ML deployment.
Key Responsibilities:

Test AI/ML models and algorithms to validate their accuracy, performance, and robustness.
Utilize testing frameworks such as Py Test, Tensor Flow Testing, or similar tools to automate and streamline the testing process.
Develop and execute automated tests for AI/ML systems using Python and relevant AI/ML libraries like Tensor Flow, Py Torch, and Scikit-learn.
Work with automation tools like Jenkins and Selenium to integrate testing into CI/CD pipelines.
Perform data validation and preprocessing using data processing tools like Pandas and Num Py.
Analyze model performance metrics, including precision, recall, F1 score, and confusion matrix, to ensure the models meet required standards.
Conduct performance testing and validation of AI/ML models deployed on cloud platforms (AWS, Azure, GCP).
Collaborate with data scientists, developers, and cross-functional teams to resolve issues and improve testing processes.
Participate in Agile development teams, contributing to sprints and product iterations

Requirements:

6+ years of experience in testing AI/ML models, algorithms, and software applications.
Proficiency in Python programming and familiarity with AI/ML libraries (Tensor Flow, Py Torch, Scikit-learn).
Experience with testing frameworks such as Py Test, Tensor Flow Testing, or similar tools.
Hands-on experience with automation tools and CI/CD pipelines (e.g., Jenkins, Selenium).
Proficiency in data processing tools like Pandas and Num Py for validating data workflows.
Strong understanding of AI/ML model performance metrics such as precision, recall, F1 score, and confusion matrix.
Experience with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment and testing.
Experience in Agile environments and working within Agile teams.
Excellent communication skills for effective collaboration with cross-functional teams.