Job Title: Test Engineer (QA) – ML Model Testing
Job ID: 34594
Location: Remote (India)
Employment Type: Full-time, Permanent
Pay Range: ₹30,00,000 – ₹35,00,000 per year
Shift: US Shift / Day Shift
Start Date: Immediate joiners preferred
Job Overview
We are looking for a Test Engineer (QA) with a strong background in automation and manual testing to validate the performance, reliability, and accuracy of Machine Learning (ML) and Generative AI (GenAI) models. You will be working closely with cross-functional teams to ensure high-quality, user-centric AI products by developing and executing comprehensive test strategies.
This role is ideal for someone with a passion for quality, experience with ML model evaluation, and the ability to work independently in a fast-paced, agile environment.
Key Responsibilities
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Develop and execute detailed test plans and cases focused on ML/GenAI model outputs.
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Perform functional, integration, and regression testing of AI features and services.
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Test conversational interfaces, chatbots, or similar AI-powered applications.
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Collaborate with engineers, designers, and product managers to ensure features meet quality standards and user expectations.
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Identify and document issues clearly and concisely for rapid resolution.
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Actively participate in Agile ceremonies (stand-ups, sprint planning, retrospectives, etc.).
Key Skills & Requirements
Must-Have:
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7+ years of experience in functional and integration testing.
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Strong hands-on experience in test automation using Python or JavaScript.
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Experience testing AI/ML or GenAI-based applications.
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Solid understanding of scripting and automation for scalable test coverage.
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Ability to work independently with a sense of ownership and accountability.
Nice-to-Have:
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Proficiency with API testing tools such as Postman or Swagger.
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Experience with CI/CD pipelines and cloud-based testing environments.
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Familiarity with tools like JIRA, Azure DevOps, etc.
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Frontend fundamentals including HTML, CSS, JavaScript, TypeScript, and React.
Compensation & Benefits
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Competitive salary: ₹30,00,000 – ₹35,00,000 per year
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Performance bonus
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Health insurance
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Provident Fund (PF)
Additional Information
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Work Mode: Remote (India-based with US shift overlap)
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Application Questions:
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Are you available for immediate joining?
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What is your current CTC?
This is a high-impact role with exposure to cutting-edge AI technologies. If you’re a driven QA professional looking to innovate in the GenAI space, this role is for you.
- Company Name:Dinero Solutions
- Average Salary Offered (for Current Role): ₹30,00,000 - ₹35,00,000 per year
- Must-have skills:
- 7+ years of experience in functional and integration testing
- Basic scripting in JavaScript or Python for test automation extensions
- Experience testing AI applications, preferably with ML & GenAI model outputs
- Familiarity with tools like Selenium, Appium, Cypress, etc.
- Independent, self-driven, and ownership mindset
- How to prepare for the Interview?
- Brush up on your knowledge and experience in functional and integration testing, especially in the context of AI applications, ML models, and GenAI model outputs.
- Be prepared to demonstrate your scripting skills in JavaScript or Python for test automation.
- Familiarize yourself with popular testing tools like Selenium, Appium, and Cypress.
- Be ready to showcase your problem-solving skills, attention to detail, and ability to work independently.
- Prepare examples and scenarios from your previous experience that highlight your relevant skills and accomplishments.
- How to prepare the resume for this job description?
- Highlight your experience in functional and integration testing, emphasizing your work with AI applications, ML models, and GenAI model outputs.
- Showcase your scripting skills in JavaScript or Python, specifically for test automation.
- List the testing tools you are proficient in, such as Selenium, Appium, Cypress, etc.
- Demonstrate your ability to work independently, take ownership, and drive projects forward.
- Quantify your achievements and impact in previous roles related to testing and quality assurance.
- Tailor your resume to align with the job description's requirements and highlight your relevant skills and experience.
- Links to prepare for the interview:
Note: Since the job description does not provide specific details about the company or resource links, the provided information is based on the details mentioned in the job description itself.