Urgent! QA Engineer – AI/ML Model Validation Job Opportunity in Mumbai, India – Now Hiring Volga Infotech

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

Volga Infotech interview tips for QA Engineer – AI/ML Model Validation

Here are some tips to help you prepare for and ace your QA Engineer – AI/ML Model Validation job interview:

Before the Interview:

Research: Learn about the Volga Infotech's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

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!

QA Engineer – AI/ML Model Validation

Job description

Company: Volga Infotech

Location: Mumbai, Maharashtra, India

Job Type: Full-time

Salary: Undisclosed

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