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Urgent! Qa engineer – ai/ml model validation Job Opening In Mumbai – Now Hiring Volga Infotech
About the Role
We are looking for a QA Engineer experienced in validating traditional AI/ML models to ensure the reliability, accuracy, and performance of predictive systems.
The ideal candidate will collaborate closely with data scientists, MLOps engineers, and product teams to design comprehensive testing frameworks for AI models — ensuring correctness, consistency, and reproducibility across multiple datasets and environments.
Key Responsibilities
Validate and verify machine learning models (Regression, Classification, Clustering, NLP, etc.) across different stages of development and deployment.
Develop and execute test plans , test cases , and validation strategies for AI/ML pipelines.
Ensure model outputs meet defined accuracy, precision, recall, and F1-score benchmarks.
Perform data quality checks , detect anomalies, and validate preprocessing pipelines.
Validate feature engineering steps , ensuring data leakage and bias-free inputs.
Conduct A/B testing , cross-validation , and reproducibility checks.
Collaborate with Data Science teams to define acceptance criteria for models.
Validate model retraining , version control , and drift detection processes.
Document findings and prepare detailed QA reports for model performance and compliance.
Automate regression testing and pipeline validation using CI/CD and MLOps frameworks.
Required Skills & Experience
Strong understanding of machine learning lifecycle (training, validation, inference).
Experience validating supervised and unsupervised learning models.
Hands-on skills in Python and ML libraries such as scikit-learn , Tensor Flow , or Py Torch.
Familiarity with data validation frameworks (e.g., Great Expectations, Deequ).
Experience with ML experiment tracking tools (MLflow, Weights & Biases, or Kubeflow).
Working knowledge of SQL and data visualization for validation analysis.
Understanding of MLOps , CI/CD pipelines , and model deployment tools (e.g., Docker, Jenkins, Git Hub Actions ).
Familiarity with statistics and data drift analysis (Kolmogorov–Smirnov test, PSI, etc.).
Strong analytical mindset and ability to identify subtle inconsistencies in model performance.
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Great news! Volga Infotech is currently hiring and seeking a Qa engineer – ai/ml model validation to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Volga Infotech adheres to the cultural norms as outlined by Expertini.
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