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QA Engineer – AI/ML Model Validation Job Opening In New Delhi – Now Hiring Volga Infotech

QA Engineer – AI/ML Model Validation

    India Jobs Expertini Expertini India Jobs New Delhi Prb Qa Engineer – Ai/ml Model Validation

Job description

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 ,

TensorFlow , or

PyTorch .

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, GitHub 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.

Required Skill Profession

Prb


  • 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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