Position Title:  Intern

Be a Part of a Revolutionary Change

At PMI, we’re transforming our business to deliver a smoke-free future. This transformation is reshaping every aspect of what we do, from the products we create to the technologies that power them.

It’s an ideal place to start your career. You’ll gain hands-on experience in an international environment while contributing to meaningful projects that drive innovation and business impact.

About the Team

The Digital Product Innovation (DPI) team, part of IT and R&D, drives innovation for connected embedded devices. From ideation to product validation, the team supports rapid prototyping, user testing, and early-stage development while leveraging advanced technologies, including AI and machine learning, across the product lifecycle.

Your Day-to-Day

As a Machine Learning Intern, you will contribute to an innovation project spanning the full AI spectrum, from embedded machine learning to transformer-based models and Large Language Models (LLMs).

You will:

• Design, train, and evaluate machine learning models using Python and leading ML frameworks.
• Analyze and extract insights from large-scale datasets and data lakes.
• Work with libraries such as scikit-learn, pandas, NumPy, PyTorch, and TensorFlow.
• Explore transformer architectures and LLMs for real-world business applications.
• Build scalable data processing, model training, and deployment pipelines using cloud technologies.
• Collaborate with data scientists, engineers, and innovation leaders to prototype and validate new solutions.
• Present findings and recommendations to project stakeholders.

You'll be encouraged to work independently, think critically, experiment with new ideas, and contribute to projects that support PMI's digital product roadmap.

Who We're Looking For

• Currently enrolled in, or recently completed, a degree in Computer Science, Data Science, Electrical Engineering, or a related field.
• Strong Python programming skills.
• Experience with machine learning libraries such as scikit-learn, pandas, and NumPy.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Interest in both embedded machine learning and advanced AI technologies, including transformers and LLMs.
• Exposure to cloud computing or data engineering concepts is a plus.
• Strong analytical and problem-solving skills.
• Self-motivated, curious, and eager to learn.
• Effective communication and collaboration skills.

What We Offer

• Hands-on experience working on cutting-edge AI and machine learning projects.
• Exposure to embedded ML, cloud technologies, transformer models, and LLMs.
• Mentorship and guidance from experienced professionals.
• Opportunities to develop both technical and professional skills.
• Collaboration within a global, innovative, and supportive team environment.
• Flexible working arrangements that support academic commitments.

Things to Know Before You Apply

• Internship duration: 6 months
• Start date: approximately 15 February 2027