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AI/ML Test Engineer

Job Location : Cochin | Type : Permanent & Full-time | 3 to 5 Years

Job Description

AI is only as trustworthy as its testing. As intelligent systems power more critical decisions, the stakes for getting it wrong grow higher. Biased recommendations. Exploited fraud models. Drifting accuracy. These are not edge cases. They are real risks that affect real people. At Codelynks, we believe AI should be reliable, fair, and transparent. As an AI/ML Test Engineer, you will be the one who makes sure it is. You will validate models that drive high-impact decisions and catch the failures others miss. This is not traditional QA. This is protecting the integrity of intelligent systems.

Role & Responsibilities

  • Validate AI/ML models for accuracy, fairness, and explainability
  • Design test strategies that catch bias, drift, and adversarial exploits
  • Identify how systems can be gamed, manipulated, or misused
  • Build automated testing pipelines that scale with our AI solutions
  • Help teams understand what's working, what's failing, and why it matters

Must Have skills

  • 5+ years in Software Testing/QA
  • 1+ years testing AI/ML models and data-driven applications
  • Experience validating NLP systems, recommendation engines, fraud detection, or scoring models
  • Strong expertise in model accuracy, bias detection, and explainability testing
  • Hands-on with PyTest, TensorFlow Model Analysis, MLflow, and Jupyter Notebooks
  • Experience integrating AI/ML tests into CI/CD pipelines
  • Ability to communicate findings clearly to technical and business stakeholders
  • Nice to have: ISTQB AI Testing, TensorFlow, or Cloud AI certifications

Why Codelynks?

AI systems are only as good as the scrutiny they face. Here, your work ensures that the intelligent solutions we build are trustworthy, fair, and resilient. You will not just find bugs. You wil protect the people who rely on these systems every day.

Apply for Position







    Why Codelynks?

    AI systems are only as good as the scrutiny they face. Here, your work ensures that the intelligent solutions we build are trustworthy, fair, and resilient. You will not just find bugs. You wil protect the people who rely on these systems every day.

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