AI/ML Test Engineer
- Cochin, SK, Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
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
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
- 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
More about this job
Responsibilities
As an AI/ML Test Engineer, you will validate AI/ML models for accuracy, fairness, and explainability. You will design test strategies to catch bias, drift, and adversarial exploits.
Requirements
Candidates must have 5+ years in Software Testing/QA and at least 1 year of experience testing AI/ML models. Strong expertise in model accuracy, bias detection, and explainability testing is required.
Skills
- Software Testing
- QA
- AI/ML Models
- Data-Driven Applications
- NLP Systems
- Recommendation Engines
- Fraud Detection
- Scoring Models
- Model Accuracy
- Bias Detection
- Explainability Testing
- PyTest
- TensorFlow Model Analysis
- MLflow
- Jupyter Notebooks
- CI/CD Pipelines
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Engineering
- Data & Analytics
- Software
Keywords
- AI
- ML
- Software Testing
- QA
- NLP
- Recommendation Engines
- Fraud Detection
- Scoring Models
- Model Accuracy
- Bias Detection
- Explainability Testing
- PyTest
- TensorFlow
- MLflow
- Jupyter Notebooks
- CI/CD
- Testing Strategies
- Automated Testing
- Intelligent Systems
- Data-Driven Applications