AI QA Engineer

Position Title: AI QA Engineer

Reports to: QA Lead & Senior QA Automation Engineer

Location: Ireland (remote)

About us:

Compliance & Risks is the leading provider of product and regulatory compliance SaaS solutions. The combination of our enterprise-grade platform, C2P, extensive global regulatory content, and a team of subject matter experts enables global companies across multiple sectors (consumer electronics, household appliances, apparel, medical devices, and more) to build safe, sustainable products in a world full of change. 

The company serves 300+ global enterprise customers, including GE, Google, Nike, Amazon, Ikea, Bose, Tesla, Vaillant, Unisys, Samsung and Fujitsu.

What makes C&R a great place to work?

• We have an award-winning, remote-first, flexible workplace
• We work with the biggest companies in the world, helping them to comply with regulations and achieve their Environmental, Social, and Governance goals
• We won the Best Health & Wellbeing Strategy Award at the 2023 HR Leadership and Management Awards
• Our regulatory experts are at the center of EU policy on AI and contributing to the evolving AI landscape
• We own the world’s most comprehensive database of legislative information, which drives insights and actions, to help customers bring products to market faster with lower risk and ensure ongoing compliance
• We strive to continually innovate and invest in the latest technologies so that we solve the job-to-be-done of our customers

Purpose:

We are seeking a skilled and proactive AI Quality Assurance Engineer to join our team, focusing on ensuring the quality and reliability of our AI projects. This role is instrumental in validating the performance and accuracy of AI models and algorithms across various domains and applications.

Responsibilities:

• Develop comprehensive test plans and strategies for AI projects, encompassing functional testing, performance testing, and edge case validation.
• Collaborate closely with data scientists, machine learning engineers, and software developers to understand AI project requirements and design effective test cases.
• Execute both manual and automated tests to evaluate AI models, including input-output validation, data integrity checks, and performance benchmarks.
• Identify and prioritize risks associated with AI projects and create mitigation strategies to address potential issues.
• Implement and maintain automated testing frameworks and tools tailored for AI testing, leveraging technologies such as TensorFlow, PyTorch, or MLflow.
• Investigate and troubleshoot AI model failures or unexpected behaviors, employing debugging techniques and data analysis to identify root causes.
• Document testing procedures, methodologies, and outcomes to facilitate knowledge sharing and continuous improvement of QA processes.
• Stay current with advancements in AI technologies, tools, and best practices, and apply this knowledge to enhance AI testing capabilities.
• Collaborate with cross-functional teams to ensure AI solutions meet business requirements, performance goals, and ethical standards.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, with a focus on artificial intelligence or machine learning.
• 2+ years of experience in quality assurance/testing of AI-based applications or machine learning models, preferably in a production environment.
• Strong understanding of AI concepts and techniques, including neural networks, deep learning, reinforcement learning, and natural language processing.
• Proficiency in programming languages such as Python for scripting, test automation, and data manipulation.
• Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or similar.
• Familiarity with testing methodologies and tools specific to AI, such as MLflow, TensorFlow Extended (TFX), or cloud-based AI services (e.g., AWS SageMaker, Google AI Platform).
• Solid analytical and problem-solving skills, with a keen attention to detail and the ability to investigate complex issues.
• Excellent communication skills, with the ability to articulate technical concepts and findings to diverse stakeholders.
• Proven ability to work both independently and collaboratively in a dynamic, cross-functional team environment.
• Passion for innovation, continuous learning, and contributing to the advancement of AI technologies.

Preferred Qualifications:

• Experience in deploying and testing AI models in production environments, including monitoring model performance and scalability.
• Knowledge of ethical considerations and biases in AI systems, with a focus on ensuring fairness, transparency, and accountability in AI applications.
• Familiarity with big data technologies and platforms (e.g., Apache Hadoop, Spark) for managing and processing large datasets.
• Previous exposure to specific AI domains such as computer vision, speech recognition, recommendation systems, or autonomous systems.

Why Join Us:

• Opportunity to work on cutting-edge AI projects and contribute to shaping the future of technology.
• Collaborative and inclusive work environment that encourages innovation, creativity, and professional growth.
• Competitive compensation package with comprehensive benefits, including health insurance, retirement plans, and opportunities for career development and advancement.

If you are passionate about AI and quality assurance, with a desire to ensure the reliability and performance of AI solutions, we invite you to apply for this exciting opportunity! Join us in advancing AI technologies and delivering impactful solutions to our customers.

Work Location: 

While your team will be predominantly distributed in Ireland, if you live near our Cork office you can use the office any time you wish. Also, you may be expected to travel there 2-3 times per year for team and company gatherings.

Company Highlights

• 20-30% YoY revenue growth since 2017
• Established global offices
• Top private equity sponsorship from Luminate Capital Partners
• 90,000+ regulations and standards on the platform
• A market-leading retention rate over 95%

We are a diverse team in Compliance & Risks and we are committed to building and promoting an inclusive place to work for everyone. We strive to attract and retain a diverse range of people into our organization.  We aim to increase the diversity of our employee base by growing our diverse talent pipeline, including partnerships with organizations like Resilient Coders, Women who code, Women in Tech. We are committed to equality of opportunity for all employees, by promoting a work environment free from bullying, discrimination or harassment. Compliance & Risks is an equal opportunities employer.