Technical Support Intern - AI Engineer and Support

Introduction

IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide.

Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs.

IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Your role and responsibilities

We are seeking a motivate Intern to join our AI and Data Science development team. In this role, you will contribute to the design, development, and implementation of AI solutions, while also supporting the integration and performance of these systems.

You will also look for ways to efficiently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. You'll work closely with engineering, support, and senior developers to ensure AI models are robust, scalable, and aligned with business needs; and help to create predictive models, generate insights and help optimize company performance.

This is a hands-on technical role ideal for someone passionate about AI and eager to grow their skills in both development and system-level implementation.

Required technical and professional expertise

Programming Proficiency : Solid understanding of Python and / or another programming language commonly used in AI (e.g., Java, C++, or R).

Mathematics & Statistics : Foundational knowledge in linear algebra, calculus, probability, and statistics.

Machine Learning Basics : Familiarity with core ML concepts such as supervised and unsupervised learning, model evaluation, and overfitting.

Data Handling : Experience working with data using libraries like NumPy, pandas, or similar.

Version Control : Basic understanding of Git and collaborative development workflows.

Communication : Ability to clearly articulate technical concepts and collaborate effectively in a team environment.

Preferred technical and professional experience

Deep Learning Frameworks : Exposure to TensorFlow, PyTorch, or JAX.

AI Project Experience : Prior coursework, personal projects, or research involving AI / ML.

Cloud Platforms : Familiarity with cloud services like AWS, Azure, or Google Cloud for AI workloads.

Software Engineering Practices : Understanding testing, debugging, and code optimization.

Visualization Tools : Experience with tools like Matplotlib, Seaborn, or Plotly for data visualization.

Knowledge of AI Ethics : Awareness of fairness, bias, and responsible AI development practices.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.