Job Description

AI/ML Engineer

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Your mission at HP Industrial Print
Are you ready to shape the future of the printing industry? HP Industrial Print, a division of HP Inc., is at the forefront of providing innovative printing solutions and services for the graphic arts and commercial printing sectors. We're driving the digital transformation of the print industry with a focus on accessibility, agility, security, and sustainability.
Our groundbreaking products and services enable businesses to stay ahead of market changes and expand their capabilities with world-class digital printing solutions. With a vision to revolutionize Industrial Print, we've deployed more than 8000 presses worldwide, serving 5500 customers across 82 countries.
As leaders in the commercial, label, and packaging segments, HP Industrial Print is dedicated to empowering businesses to unlock their full potential, driving limitless growth and new opportunities.
At the heart of HP’s business strategy is Sustainable Impact across three pillars of Climate Action, Human Rights, and Digital Equity. Rooted in science. HP is recognized as one of the world’s most sustainable companies. It was the only tech company globally to receive 2023 Triple “A” rating from CDP for its’ disclosure and progress within Climate, Water, and Forests for the 5th year in a row, among many other recognitions.

We're looking for you

We are seeking a Machine Learning & Advanced Analytics Specialist to lead the end-to-end design and deployment of machine learning, advanced analytics, and software solutions that drive measurable business impact. In this role, you will operate at the intersection of strategy, data, and technology—translating complex business challenges into scalable, production-ready initiatives. You will leverage predictive modeling, advanced analytics, and modern software solutions to generate actionable insights and optimize decision-making.
You will own use cases end-to-end: from identifying opportunities and shaping solutions, to validating impact and ensuring successful adoption across the organization.

Key Responsibilities

• Design, implement, and deploy machine learning models and data-driven solutions to address concrete business problems.
• Build robust data pipelines, features, and integrations in collaboration with data engineering and RnD teams.
• Package models and solutions for production use ensuring scalability, reliability, and maintainability.
• Conduct exploratory data analysis, feature engineering, and data quality checks to enable high-performing models.
• Evaluate model performance against defined KPIs and optimize as needed (retraining, tuning, refactoring).
• Collaborate closely with business stakeholders to understand requirements and translate them into technical implementation plans.
• Work with engineers and architects to align on standards, security, and integration patterns while retaining ownership of the AI solution lifecycle.
• Document solutions, architectures, and processes to ensure transparency, reuse, and operational continuity.
• Ensure all implementations follow responsible AI principles, regulatory requirements, and internal governance.
• Support knowledge transfer and enablement, helping teams effectively use the delivered AI solutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
• 3+ years of experience in developing and deploying machine learning models, along with a solid foundation in backend software development, cloud infrastructure management, and large-scale analytics workloads.
• Proficiency in programming languages such as Python is required.
• Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms like AWS, Databricks, Azure, or Google Cloud.
• Understanding of data preprocessing techniques and tools.
• Strong problem-solving skills and the ability to analyze complex data.
• Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
• Ability to work collaboratively in a team environment.
• Commitment to continuous learning and staying updated with the latest AI advancements.
• Familiarity with ethical considerations and best practices in AI development.
• Relevant certifications in Data, ML, Software, or cloud platforms are a plus.
• Fluency in English (equivalent to C1 or higher).

GBU Entity

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Data & Information Technology

Schedule -

Full time

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No shift premium (Spain)

Travel -

Relocation -

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.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal"