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Urgent! AI System Validation Engineer Job Opening In India, India – Now Hiring Wipro

AI System Validation Engineer



Job description

Job Title: AI Test Engineer

Duration: Fulltime

Location: Pune/ Kharadi


Job Summary:

We are looking for a detail-oriented and analytical AI Tester to ensure the quality and reliability of our AI models and systems.

The ideal candidate will have experience in testing AI/ML applications, a strong understanding of machine learning concepts, and expertise in designing test cases for complex AI systems.

You will play a critical role in identifying issues, ensuring compliance with ethical AI standards, and improving the overall performance of AI solutions.


Key Responsibilities:


1.

Test Planning and Strategy:

  • Develop comprehensive test plans and strategies for AI/ML models and systems.
  • Define testing methodologies, including functional, performance, and stress testing for AI applications.


2.

Test Case Design and Execution:

  • Design and execute test cases to validate AI models, algorithms, and workflows.
  • Test AI systems for accuracy, bias, fairness, and robustness.
  • Simulate real-world scenarios to evaluate the performance of AI models.


3.

Defect Identification and Reporting:

  • Identify, document, and report issues, bugs, and inconsistencies in AI systems.
  • Work closely with data scientists and engineers to resolve defects and improve model performance.


4.

Performance Monitoring:

  • Monitor the performance of AI models in production environments.
  • Validate model outputs against expected results and business requirements.


5.

Compliance and Ethical Testing:

  • Ensure AI systems comply with ethical AI principles, data privacy regulations, and organizational standards.
  • Test for unintended biases and ensure fairness in AI decision-making processes.


6.

Automation and Tools:

  • Develop and maintain automated testing frameworks for AI/ML systems.
  • Use testing tools and frameworks (e.G., Selenium, PyTest, or custom tools) to streamline testing processes.


7.

Collaboration:

  • Collaborate with data scientists, AI engineers, and product teams to understand requirements and testing needs.
  • Provide feedback and recommendations to improve AI model quality and reliability.


8.

Documentation:

  • Document test cases, results, and processes for future reference.
  • Prepare detailed reports on testing outcomes and areas for improvement.


Qualifications:

Education:

  • · Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
  • Experience:
  • · 3+ years of experience in software testing, with at least 1-2 years focused on AI/ML systems.
  • · Hands-on experience with testing AI models, algorithms, and workflows.
  • · Familiarity with machine learning concepts, frameworks (e.G., TensorFlow, PyTorch), and data pipelines.
  • Skills:
  • · Strong understanding of testing methodologies and tools.
  • · Proficiency in programming languages like Python or Java for test automation.
  • · Knowledge of data validation, model evaluation metrics, and performance testing.
  • · Familiarity with cloud platforms (e.G., AWS, Azure, Google Cloud) is a plus.
  • · Strong analytical and problem-solving skills.
  • Certifications (Optional):
  • · ISTQB or other software testing certifications.
  • · AI/ML-related certifications are a plus.


Key Competencies:

  • · Attention to detail and a commitment to quality.
  • · Strong communication and collaboration skills.
  • · Ability to work in a fast-paced, dynamic environment.
  • · Passion for ensuring the reliability and fairness of AI systems.


Required Skill Profession

Computer Occupations



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