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.
· 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.
· Bachelor’s degree in computer science, Engineering, or a related field.
· 2+ years of relevant industry experience
· Proficiency in Python and experience in developing projects (either through college work, internships, or personal projects).
· 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.
· 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.