**Introduction** Are you passionate about AI and how it can change the way the world works? At IBM, we're revolutionising our approach to technology sales. Our Client Engineering teams are champions of rapidly co-creating AI-powered solutions to solve complex business challenges. As an AI Engineer within our Client Engineering team, you'll harness your unique skills and perspectives to engage in the development and deployment of AI systems using our watsonx platform, creating 4-to-6-week pilots for clients, and contributing to IBM's growth and innovation. In this role, you'll support technical leaders across IBM to drive client engagements with a curiosity that sparks innovation and learning. Your contributions will form a cornerstone in our sales strategy, facilitating rapid client delivery and product innovation. The Client Engineering team is multi-disciplinary team consisting of Innovation Designers, Solution Architects, Platform Engineers, AI Engineers, and Business Strategists that collaborate to deliver a unique client co-creation experience that uses IBM technology to accelerate and prove value for our clients. **Your role and responsibilities** An AI Engineer (Intern) at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Your primary responsibilities will include: * Proof of Concept (POC) Development: Develop POCs to validate and highlight the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. * Collaboration and Project Management: Collaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. * Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. **Required technical and professional expertise** * AI-Related Education: Possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field. * Designing and delivering AI solutions: With a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. * Strong programming skills: Proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. * Excellent interpersonal and communication skills: Engage with stakeholders for analysis and implementation. * Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Commitment to continuous learning and staying updated with advancements in the field of AI. **Preferred technical and professional experience** * Familiarity with IBM's watsonx offerings: Hands-on experience with any of IBM's products and services (training across IBM's product suite will be provided). Additional Requirements: * Located in Sydney or Melbourne. * In final year of study. * Available 3-5 day working days per weeks for 6 months. * Must be Australian or New Zealand Citizen/Permanent Resident.