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 searching for a dedicated and talented AI/ML Engineer who is excited about solving complex problems and developing cutting-edge AI solutions. Your expertise in machine learning, data analysis, and software engineering will be crucial in driving our projects forward. 

If you have a strong background in AI-related technologies, experience with programming languages like Python or Java, and a deep understanding of machine learning frameworks such as TensorFlow or PyTorch, we would love to hear from you.  

Join us and be a part of a dynamic and innovative environment where your contributions will shape the future of AI. If you are ready to take on new challenges, stay at the forefront of AI advancements, and make a real difference, apply now and let's build the future together. 

Key Responsibilities 

• Develop and implement machine learning models and other algorithms to solve business problems. 

• Design, build, and maintain scalable AI systems and infrastructure. 

• Collaborate with architects, data engineers, software engineers, and product managers to integrate AI solutions into products and services. 

• Conduct data analysis and preprocessing to ensure high-quality input for AI models. 

• Monitor and optimize the performance of AI models and systems, making adjustments as needed. 

• Stay updated with the latest developments in AI and machine learning technologies and incorporate them into ongoing projects. 

• Troubleshoot and debug AI-related issues in collaboration with cross-functional teams. 

• Document AI solutions, processes, and findings to ensure knowledge sharing and reproducibility. 

• Ensure the ethical use of AI technologies and compliance with industry standards. 

• Participate in code reviews and provide constructive feedback to peers. 

Qualifications 

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

• 2+ years of experience in developing and deploying AI and machine learning models. 

• Proficiency in programming languages such as Python or Java is required. 

• Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). 

• Experience with cloud platforms like AWS, 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).