Qa Engineer-Clear AI

Role & responsibilities

Title:

Senior QA Engineer CLEAR AI

Job Overview:

We are looking for a Senior / Lead QA Engineer with hands-on experience in end-to-end

testing of AI/ML-powered and cloud-based media platforms.

The ideal candidate is not only technically proficient but also AI-aware in their QA

approach — informed on the latest AI test strategies, conversant with AI-powered tools for

test case generation and execution, and comfortable experimenting with new AI-enabled

frameworks that enhance automation efficiency.

You will help set up intelligent QA systems integrated into CI/CD pipelines, driving test

automation and turnaround time (TAT) efficiencies across the team.

Employer Name:

Prime Focus Technologies

Location:

Bangalore / Hybrid

Experience Required:

6 - 10 years

Must Haves:

• Strong understanding of SDLC, STLC, Agile methodologies, and defect lifecycle

• Proven experience in API testing, automation, and performance testing of distributed or cloud-based systems

• Familiarity with AI test strategies and exposure to AI/ML testing tools (for model validation, dataset evaluation, or automated test generation)

• Comfort with exploring and integrating new AI-driven frameworks to accelerate QA automation

• Working knowledge of databases (SQL/NoSQL), scripting (Python preferred), and test automation frameworks

• Experience with cloud platforms (AWS / Azure / GCP) and CI/CD pipelines

• Strong analytical, documentation, and debugging skills

• Excellent communication and collaboration skills across cross-functional teams

Overall Skills Needed:

• End-to-end testing of AI/ML-powered and cloud-based media platforms

• Designing, automating, and optimizing test cases across functional, integration, regression, and performance testing

• Validating AI/ML model outputs for accuracy, consistency, and bias

• Staying informed on AI-driven testing approaches and tools

• Experimenting with and onboarding AI-enabled testing frameworks

• Building and maintaining intelligent test automation systems

• Testing end-to-end content workflows involving video, audio, and text

• Developing and maintaining automated test frameworks

• Integrating QA into CI/CD pipelines

• Collaborating with engineering, DevOps, and product teams

• Contributing to improving QA standards, documentation, and test data management practices

• Supporting performance benchmarking, scalability, and regression testing of AI-enabled workflows

Key Responsibilities:

• Own QA strategy, planning, and execution for AI/ML applications and microservices within the CLEAR AI platform

• Design, automate, and optimize test cases across functional, integration, regression, and performance testing

• Validate AI/ML model outputs for accuracy, consistency, and bias; collaborate with data scientists to fine-tune test strategies for non-deterministic systems

• Stay informed on AI-driven testing approaches and tools; apply them to enhance test coverage and reduce manual effort

• Experiment with and onboard AI-enabled testing frameworks that support CI/CD-linked automation and continuous validation

• Build and maintain intelligent test automation systems that improve overall system efficiency and TAT

• Test end-to-end content workflows involving video, audio, and text – transcoding, speech-to-text, computer vision, content QC, and metadata enrichment

• Develop and maintain automated test frameworks using tools like Playwright, PyTest, Selenium, Postman, JMeter, or Robot Framework

• Integrate QA seamlessly into CI/CD pipelines (Jenkins, GitHub Actions, or similar)

• Collaborate closely with engineering, DevOps, and product teams to reproduce and resolve defects efficiently

• Contribute to improving QA standards, documentation, and test data management practices

• Support performance benchmarking, scalability, and regression testing of AI-enabled workflows

Experience with Volume Scale of Operations:

Own QA strategy, planning, and execution for AI/ML applications and microservices within the CLEAR AI platform

• Design, automate, and optimize test cases across functional, integration, regression, and performance testing

• Validate AI/ML model outputs for accuracy, consistency, and bias; collaborate with data scientists to fine-tune test strategies for non-deterministic systems

• Stay informed on AI-driven testing approaches and tools; apply them to enhance test coverage and reduce manual effort

• Experiment with and onboard AI-enabled testing frameworks that support CI/CD-linked automation and continuous validation

• Build and maintain intelligent test automation systems that improve overall system efficiency and TAT

• Test end-to-end content workflows involving video, audio, and text – transcoding, speech-to-text, computer vision, content QC, and metadata enrichment

• Develop and maintain automated test frameworks using tools like Playwright, PyTest, Selenium, Postman, JMeter, or Robot Framework

• Integrate QA seamlessly into CI/CD pipelines (Jenkins, GitHub Actions, or similar)

• Collaborate closely with engineering, DevOps, and product teams to reproduce and resolve defects efficiently

• Contribute to improving QA standards, documentation, and test data management practices

• Support performance benchmarking, scalability, and regression testing of AI-enabled workflows

Additional Position Requirements:

• Familiarity with media domain concepts (audio/video codecs, subtitles, speech-to-text, NLP, or computer vision) preferred

• Prior experience with Media Supply Chain, Broadcast, OTT, or Post-production workflows

• Familiarity with M&E platforms

• Basic understanding of AI metrics (precision, recall, accuracy) and statistical validation of model outputs

Engagement Type:

full_time

Job Type:

hybrid

Employer Industry:

Software Development / SaaS, Media and Entertainment Technology

Employer Website:

Employer Description:

Prime Focus Technologies (PFT) is a leading technology company specializing in AI-powered solutions and Enterprise Resource Planning (ERP) software for the media and entertainment industry. Founded in 2007, PFT provides a hybrid Cloud-enabled media ERP suite known as CLEAR, which automates content supply chains and workflows. The company advances content management, creation, marketing, and distribution through AI agents and cloud technologies.

Preferred candidate profile