INFOPARK

QA Engineer - AI Accuracy & Validation Testing

We are seeking a QA Engineer to join our AI Quality Assurance team, focusing on accuracy, robustness, reliability, and ethical validation of AI/ML and Generative AI systems. This role goes beyond traditional QA and involves testing non-deterministic, data-driven, and probabilistic AI outputs.
The ideal candidate has completed QA training in Manual and Automation Testing, possesses Python knowledge, and is eager to work closely with AI/ML engineers to ensure high-quality, explainable, and trustworthy AI systems.

Key Responsibilities
AI-Specific Testing Responsibilities
• Perform accuracy, validation, and consistency testing for AI/ML and Generative AI applications
• Test non-deterministic systems where the same input may produce different outputs
• Define and validate probabilistic acceptance criteria instead of fixed expected results
• Conduct model robustness testing using noisy, edge-case, and adversarial inputs
• Identify and report hallucinations in Generative AI (LLMs, chatbots, NLP systems)
• Perform prompt testing and prompt regression testing to ensure stable AI responses after model or prompt updates
• Validate explainability and justification of AI outputs (why a model produced a specific result)
• Execute fairness, bias, and ethical testing to detect skewed, unsafe, or discriminatory AI behaviour
Manual & Automation Testing
• Design and execute manual test cases for AI workflows, edge cases, and real-world scenarios
• Validate AI outputs against datasets, expected patterns, statistical thresholds, and business rules
• Develop and maintain automation scripts using Selenium with Python for AI-driven workflows
• Automate repetitive AI accuracy, regression, and validation tests
• Perform regression testing after model retraining, fine-tuning, or data updates
Collaboration & Documentation
• Work closely with AI/ML engineers and data teams to understand models, prompts, inputs, and outputs
• Analyse incorrect or inconsistent AI responses and log high-quality, detailed defects
• Work with structured and unstructured data (text, images, datasets) for testing
• Document test results, observations, risks, and AI improvement recommendations
• Participate in Agile/Scrum ceremonies and sprint QA activities

Required Skills & Qualifications
• Completed QA training in Manual and Automation Testing
• Strong understanding of testing fundamentals, SDLC, and STLC
• Mandatory Python knowledge (academic projects or professional experience)
• Mandatory experience or training in Selenium with Python
• Ability to understand and test data-driven, logic-based, and AI-powered systems
• Strong analytical thinking and attention to detail
• Good verbal and written communication skills

Good to Have
• Basic understanding of AI/ML concepts (models, datasets, accuracy, precision, recall, etc.)
• Exposure to testing AI/ML applications, chatbots, NLP systems, LLMs, or recommendation engines
• Familiarity with PyTest or other Python-based automation frameworks
• Knowledge of test data preparation, validation, and labelling
• Familiarity with Agile/Scrum methodology
• Awareness of AI ethics, bias, and responsible AI principles

Education
Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or a related field

ERP Consulatant

ERP Consulatant
Experience: 7+ Years
Key Responsibilities
Implementation & Configuration: Managing the entire implementation lifecycle, including installing, customizing, and configuring ERP software to meet specific business workflows.
Business Analysis: Assessing current business processes, identifying gaps, and recommending improvements to enhance efficiency.
Data Migration & Integration: Overseeing the secure transfer of data from legacy systems and integrating the ERP with third-party applications.
Project Management: Overseeing project timelines, budgets, and resources to ensure successful, timely, and on-budget delivery.
Training & Support: Conducting user training, creating documentation, and providing post-implementation support to resolve issues and optimize performance
Qualifications & Skills
Bachelor's degree in Computer Science, Information Systems, Business, or related fields.
Proven experience with specific ERP systems (e.g., SAP, Oracle, NetSuite, Microsoft Dynamics 365).
Strong analytical, problem-solving, and communication skills to translate business needs into technical solutions.
Knowledge of SQL, database management, and business processes (finance, supply chain).

ERP Consultant – Business Analyst

ERP Consultant – Business Analyst

Responsible for analysing customer business processes, designing ERP workflows and functional specifications across multiple domains (manufacturing, trading, retail, logistics, Mining), and supporting ERP implementation by acting as the functional bridge between customers and development teams.

Key Responsibilities
Gather and analyse domain-specific business requirements from customers
Design end-to-end ERP workflows and process maps
Convert requirements into clear functional specifications for developers
Work closely with developers to clarify business logic during development
Support ERP implementation
Communicate solutions and changes clearly to all stakeholders.

Java Developer (Spring Boot & Angular)

Java Developer

Experience: 5–10 Years
Qualification: B.E / B.Tech, MCA, or other Computer/IT related field

Key Responsibilities:
Design, develop, and maintain scalable enterprise-level applications

Develop RESTful services and backend components using Java and Spring Boot

Collaborate with cross-functional teams in an Agile (Scrum) environment

Participate in sprint planning, daily stand-ups, reviews, and retrospectives

Ensure application performance, security, and scalability

Conduct code reviews and follow best development practices

Debug, troubleshoot, and optimize existing applications

Requirements:
5–10 years of experience in Java application development

Strong hands-on expertise in Java and Spring Boot

Good to have working knowledge of Angular

Experience working on enterprise applications following standard Agile processes

Solid understanding of object-oriented programming and design principles

Good communication, analytical, and problem-solving skills

Ability to work effectively in a collaborative team environment