Urgent! QA Engineer – AI/ML Model Validation Job Opening In New Delhi – 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 ,
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.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your QA Engineer Potential: Insight & Career Growth Guide
Real-time QA Engineer Jobs Trends in New Delhi, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for QA Engineer in New Delhi, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 621085 jobs in India and 21099 jobs in New Delhi. This comprehensive analysis highlights market share and opportunities for professionals in QA Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
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.
Wait no longer! Are you also interested in exploring similar jobs? Search now: QA Engineer – AI/ML Model Validation Jobs New Delhi.
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.
The fundamental ethical values are:The average salary range for a QA Engineer – AI/ML Model Validation Jobs India varies, but the pay scale is rated "Standard" in New Delhi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for QA Engineer – AI/ML Model Validation typically include Prb and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for QA Engineer – AI/ML Model Validation, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your QA Engineer – AI/ML Model Validation interview at Volga Infotech, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Volga Infotech's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for QA Engineer – AI/ML Model Validation is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!
