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Introduction
At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.
Why Join Us
- Be part of a high-performing AI Center of Excellence team working on innovative AI projects that impact internal business processes.
- Work in an Agile environment with a clear focus on high-priority tasks and structured communication.
- Collaborate with experienced engineers, data scientists, and team leaders in a supportive and learning-oriented atmosphere.
- Continuous learning opportunities to stay updated with the latest AI trends and technologies.
Your Role And Responsibilities
The AI Center of Excellence (COE) team is looking for a motivated and innovative Entry-Level Engineer to join our dynamic and fast-paced environment. As part of the AI COE, you will have the opportunity to work on cutting-edge AI projects, contribute to the development of reusable AI modules, and collaborate with a cross-functional team to drive impactful solutions. The ideal candidate will have a strong desire to learn, a passion for artificial intelligence, and a commitment to delivering high-quality work in a structured and collaborative setting.
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- Develop modular, reusable components for internal AI projects, ensuring scalability and long-term usability.
- Collaborate with the team to manage tasks within a structured Agile framework, while ensuring priority tasks are addressed efficiently during each sprint.
- Balance a workload that includes both development and cross-team communication to ensure the progress of high-priority tasks.
- Ensure clear and effective communication with team members, particularly within project standups and ongoing task tracking.
- Take ownership of tasks while working within an established structure and manage changing priorities when necessary.
- Demonstrate a proactive approach in solving problems and propose innovative solutions to improve existing AI frameworks.
Required Technical And Professional Expertise
- Proficiency in Python and experience in developing projects (either through college work, internships, or personal projects).
- Demonstrated data science foundation from academic studies, including exposure to topics such as statistical analysis, data wrangling, model evaluation, or exploratory data analysis.
- Side projects or a personal portfolio that showcases applied data science or AI work (e.g., Kaggle competitions, GitHub repositories, personal ML experiments, or open-source contributions) — candidates are encouraged to share links.
- Demonstrated innovation and creativity in AI-related projects or any technical domain.
- Foundational knowledge and interest in artificial intelligence and modern AI technologies (such as machine learning, deep learning, NLP, etc.).
- Ability to work in a collaborative, structured Agile environment and manage tasks within a sprint while maintaining flexibility for high-priority changes.
- Strong communication skills and an ability to work well with different teams to ensure project success and progress.
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Preferred Technical And Professional Experience
- Familiarity with AI frameworks and libraries (such as TensorFlow, PyTorch, scikit-learn, etc.).
- Experience with version control systems like Git.
- Experience in Agile development processes, task management, and team communication.
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