Description -

HP is undergoing continuous transformation, constantly seeking new and better ways to manage processes and generate value. We are committed to fostering a culture of innovation and digitalization, and we value employees who share our passion for excellence and continuous improvement.

We are seeking a qualified Graduate AI Quality Engineer to join our dynamic team in the Large Format Printing organization. The ideal candidate will possess a strong foundation in AI, machine learning, and quality assurance principles, with a keen interest in developing and implementing AI solutions to enhance testing and processes.

Responsibilities

• Assist in designing, planning, and executing validation plans for complex systems involving hardware, firmware, and software solutions.
• Understand product integration requirements and value proposition.
• Utilize AI techniques to retrieve customer insights from field data to optimize test plans and control risk levels.
• Monitor the correct quality from service providers in Testing environments as per SLA.
• Contribute to continuous process improvement initiatives within the company.
• Stay abreast of industry trends and best practices related to AI and quality systems engineering.
• Collaborate with cross-functional teams to ensure the successful execution of validation plans.
• Participate in digital transformation initiatives, focusing on innovation and process automation.
• Utilize automation processes and tools such as Power Apps, Power BI, or similar technologies to enhance efficiency and effectiveness.
• Provide support and contribute to the development of AI-driven solutions for quality assurance and process improvement.

Education & Experience Recommended

• Four-year or Graduate Degree in Computer Science, Artificial Intelligence, Industrial Engineering, Manufacturing Engineering, Electrical or Electronics Engineering, or any other related discipline.
• Relevant coursework or projects in AI, machine learning, and quality assurance.

Knowledge & Skills

• AI and Machine Learning
• Agile Methodology
• Automation & Test Automation
• Continuous Improvement Process
• Corrective And Preventive Action (CAPA)
• Data Analysis
• Good Manufacturing Practices
• ISO 9000 Series
• Product Quality (QA/QC)
• Quality Management Systems
• Risk Management
• Root Cause Analysis
• Test Planning

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Legal entity: GBU

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Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement