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Senior Quality Control Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Spain

Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field., 5+ years of experience in quality assurance, data analysis, or related roles., 2+ years in a leadership capacity., Strong proficiency in data analysis tools and AI/ML frameworks..

Key responsabilities:

Lead the QA function and strategy.
Supervise and mentor the Junior Quality Control Engineer.
Design and implement advanced QA frameworks for AI models.
Establish QA standards and best practices.
Conduct detailed AI model validation.
Develop automated testing pipelines.
Collaborate with product managers and engineers on testing requirements.
Create reports on QA metrics and recommendations.

Edelman DXI Research SME https://www.edelmandxi.com/

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Job description

Edelman is a voice synonymous with trust, reimagining a future where the currency of communication is action. Our culture thrives on three promises: boldness is possibility, empathy is progress, and curiosity is momentum.

At Edelman, we understand diversity, equity, inclusion and belonging (DEIB) transform our colleagues, our company, our clients, and our communities. We are in relentless pursuit of an equitable and inspiring workplace that is respectful of all, reflects and represents the world in which we live, and fosters trust, collaboration and belonging.

As the Senior Quality Control Engineer, you will lead the QA function across Edelman’s entire trust product portfolio and offerings. You will establish and elevate quality assurance standards and processes, manage a Junior QA Engineer, and drive quality across diverse AI-driven solutions. This is a leadership role requiring a hands-on approach to implementing advanced QA methodologies, ensuring our AI and data-driven solutions maintain their competitive edge.

Why You’ll Love Working with Us

We’re all about collaboration, creativity, and making an impact together. Your ideas will always matter here, and we love hearing new perspectives. Joining our team provides an opportunity to collaborate on cutting-edge AI solutions crafted for the PR industry. If you are passionate about driving meaningful innovations and making a real impact, this is the place for you.

Responsibilities:

Lead and own the QA function, driving the strategy, execution, and evolution of quality assurance processes for Edelman’s trust product portfolio.

Supervise and mentor the Junior Quality Control Engineer, ensuring alignment with team goals and professional development.

Design and implement advanced QA frameworks for validating AI models, optimizing prompts, and ensuring data accuracy and integrity across all trust offerings.

Establish and document QA standards, best practices, and processes, fostering a culture of quality across the trust product portfolio.

Conduct detailed AI model validation to assess accuracy, fairness, and compliance with performance metrics for products within the trust ecosystem.

Develop and oversee automated testing pipelines, integrating them into the CI/CD workflow for seamless product deployments.

Collaborate with product managers, engineers, and data scientists to define testing requirements and quality benchmarks for trust offerings.

Create and maintain comprehensive reports on QA metrics, test outcomes, and recommendations for continuous improvement.

Serve as the quality advocate within the team, proactively identifying risks and opportunities to enhance product performance and trust reliability.

Stay informed about emerging trends in AI, data analysis, and QA methodologies to keep Edelman at the forefront of innovation.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

5+ years of experience in quality assurance, data analysis, or related roles, with 2+ years in a leadership capacity.

Demonstrated expertise in QA methodologies, automated testing tools, and AI/ML validation techniques.

Strong proficiency in data analysis tools (e.g., Python, R) and AI/ML frameworks (e.g., TensorFlow, PyTorch).

Proven ability to establish and scale QA processes within a fast-paced, agile environment.

Strong leadership and mentoring skills, with experience managing direct reports.

Excellent communication skills, including the ability to present technical findings to diverse audiences.

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We are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t perfectly align with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles.