Test Engineer - AI/ML

Leading digital testing boutique firm

Test Engineer - AI/ML

Peak Hire Solutions

Company

Home

Test Engineer - AI/ML

at Leading digital testing boutique firm

Agency job

via Peak Hire Solutions

5 - 8 yrs

₹11L - ₹15L / yr

Delhi

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Software Testing (QA)

Natural Language Processing (NLP)

Analytics

pytest

TensorFlow

Model-based testing

MLFlow

Python

Data validation

CI/CD

Algorithms

Data Science

ISTQB

Jupyter Notebook

Review Criteria

Strong AI/ML Test Engineer
5+ years of overall experience in Testing/QA
2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
Candidate must be based within Delhi NCR (100 km radius)

Preferred

Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.

Job Specific Criteria

CV Attachment is mandatory
Have you worked with large datasets for AI/ML testing?
Have you automated AI/ML testing using PyTest, Jupyter notebooks, or CI/CD pipelines?
Please provide details of 2 key AI/ML testing projects you have worked on, including your role, responsibilities, and tools/frameworks used.
Are you willing to relocate to Delhi and why (if not from Delhi)?
Are you available for a face-to-face round?

Role & Responsibilities

5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
Preferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials

Ideal Candidate

5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
Preferred Certifications ISTQB AI Testing TensorFlow Cloud AI certifications or equivalent applied AI credentials

Review Criteria

Strong AI/ML Test Engineer
5+ years of overall experience in Testing/QA
2+ years of experience in testing AI/ML models and data-driven applications, across NLP, recommendation engines, fraud detection, and advanced analytics models
Must have expertise in validating AI/ML models for accuracy, bias, explainability, and performance, ensuring decisions are fair, reliable, and transparent
Must have strong experience to design AI/ML test strategies, including boundary testing, adversarial input simulation, and anomaly monitoring to detect manipulation attempts by marketplace users (buyers/sellers)
Proficiency in AI/ML testing frameworks and tools (like PyTest, TensorFlow Model Analysis, MLflow, Python-based data validation libraries, Jupyter) with the ability to integrate into CI/CD pipelines
Must understand marketplace misuse scenarios, such as manipulating recommendation algorithms, biasing fraud detection systems, or exploiting gaps in automated scoring
Must have strong verbal and written communication skills, able to collaborate with data scientists, engineers, and business stakeholders to articulate testing outcomes and issues.
Degree in Engineering, Computer Science, IT, Data Science, or a related discipline (B.E./B.Tech/M.Tech/MCA/MS or equivalent)
Candidate must be based within Delhi NCR (100 km radius)

Preferred

Certifications such as ISTQB AI Testing, TensorFlow, Cloud AI, or equivalent applied AI credentials are an added advantage.

Job Specific Criteria

CV Attachment is mandatory
Have you worked with large datasets for AI/ML testing?
Have you automated AI/ML testing using PyTest, Jupyter notebooks, or CI/CD pipelines?
Please provide details of 2 key AI/ML testing projects you have worked on, including your role, responsibilities, and tools/frameworks used.
Are you willing to relocate to Delhi and why (if not from Delhi)?
Are you available for a face-to-face round?

Role & Responsibilities

5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
Preferred Certifications ISTQB AI Testing TensorFlowCloud AI certifications or equivalent applied AI credentials

Ideal Candidate

5 years’ experience in testing AIML models and data driven applications including natural language processing NLP recommendation engines fraud detection and advanced analytics models
Proven expertise in validating AI models for accuracy bias explainability and performance to ensure decisions eg bid scoring supplier ranking fraud detection are fair reliable and transparent
Handson experience in data validation and model testing ensuring training and inference pipelines align with business requirements and procurement rules
Strong skills in data science equipped to design test strategies for AI systems including boundary testing adversarial input simulation and dri monitoring to detect manipulation aempts by marketplace users buyers sellers
Proficient in data science for defining AIML testing frameworks and tools TensorFlow Model Analysis MLflow PyTest Python based data validation libraries Jupyter with ability to integrate into CICD pipelines
Business awareness of marketplace misuse scenarios such as manipulating recommendation algorithms biasing fraud detection systems or exploiting gaps in automated scoring
Education Certifications Bachelors masters in engineering CSIT Data Science or equivalent
Preferred Certifications ISTQB AI Testing TensorFlow Cloud AI certifications or equivalent applied AI credentials

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Javascript

+37 more

Job Description :- Strong in algorithms, data structures, object-oriented programming- Experience in product development and with hands-on experience in designing and architecture- Database - or MySQL and MongoDB- Full-stack expertise including databases, backend, and front-end UI component- Expert knowledge of Java and other programming languages is a plus point.- Strong front-end development experience, with expert knowledge of HTML/CSS/JavaScript and experience with JS frameworks including NodeJS, Angular2 and above and React JS- Hands-on knowledge of cloud platforms such as AWS, Azure, and DigitalOcean.- Hands-on experience with security standards such as OAuth2, JWT, and Spring Security.- Ability to absorb, understand and communicate written and verbal information and ideas, and to deliver in a concise manner that is easily understood by others.- Ability to apply critical thinking to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.- Desired : Experience with SOLR and Elasticsearch- Desired : Experience with Java build and testing frameworks, such as Jenkins, Maven/Gradle, and JUnit is a plus point. - Lead other developers on the team to utilize their skills to produce high quality, on-time releases- Work in an Agile environment to release on a regular cadence while ensuring high velocity.- Collaborate closely with Product and Project Manager, QA, Architecture, and DevOps to ensure that the right solutions are being delivered.- Refine feature requirements with Product Manager on a regular basis.- Manage scrum and velocity of the development team to ensure features are delivered in a timely manner.- Generate automated unit/integration tests, CI/CD artifacts, and monitoring infrastructure as part of deliverables.- Continuously look for opportunities for improvement in practices, coding standards, SDLC and business solutions in a variety of areas.- Identify, document and drive standards in the API/services area.- Mentor and train other developers.

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