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Mumbai, India
 
 Employee Strength 100+
 
Year Founded, 2013
 

AI Test Engineer

Mumbai, Maharashtra, India

Job Type - Full Time



Responsibilities:


  • Collaborate with the AI test team to execute test plans, test cases, and test scenarios specifically tailored for AI systems.

  • Interpret and implement quality assurance standards within the context of AI testing to ensure the accuracy, reliability, and performance of AI solutions.

  • Execute, maintain, and enhance Automated Test Frameworks and Scripts dedicated to testing AI components, leveraging relevant AI tools and Deep learning frameworks.

  • Execute manual and automated tests to validate the functionality, reliability, and performance of AI algorithms and models.

  • Implement benchmarking tests to evaluate the performance of AI systems against industry standards and competitors.

  • Accurately report and track defects and issues related to AI testing, including writing detailed benchmarking /bugs reports and verifying fixes in collaboration with the development team.

  • Analyse benchmarking results to identify strengths, weaknesses, and areas for improvement in AI algorithms and models.

  • Collect and analyse data for benchmarking AI performance metrics, contributing to the establishment and enhancement of robust reporting mechanisms.

  • Continuously learn and adapt to emerging technologies and advancements in AI testing methodologies.

  • Coordinate User Acceptance Testing (UAT) and collaborate closely with the AI development team and other stakeholders to ensure comprehensive testing coverage.


Skills:

  • Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, Deep Learning, Computer Vision or related fields.Eagerness to upgrade and develop skills in testing AI Algorithms

  • Understanding of computer vision and deep learning algorithms from testing perspective.

  • Familiarity with Python, TensorFlow, Keras, PyTorch,OpenCV, pytest and willingness to learn related packages.

  • Strong analytical and critical thinking.

  • Familiarity with Version Control Systems like Git, essential for managing AI model versions and iterations.

  • Must have good communication skills.


Preferred Skill:

  • Exposure to statistical analysis skills to evaluate model performance, validate results, and identify potential issues during AI testing.

  • Exposure of AI Pipelines and Continuous Integration/Continuous Deployment (CI/CD) pipelines, tailored for AI development and testing workflows.

  • Certification in Deep Learning or Computer Vision.

  • Good to have experience in computer vision and/or deep learning.

  • Good to have knowledge of performance / load testing.

  • Having experience in database testing is preferrable.



Qualification:

  • ISTQB certified Tester

  • ISTQB Certified AI Tester


Technology We Use

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Amazon Web Services

Services

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Dotnet

Language

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Jquery

Libraries

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c#

Languages

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Javascript

Language

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SQL

Language

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Python

Languages

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Swift

Language

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C++

Language

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Kotlin

Language

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Pytorch

Libraries

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OpenCV

Libraries

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