Your Role and Responsibilities


As a Brand Technical Specialist you'll work closely with clients to develop relationships, understand their needs, earn their trust and show them how IBM's industry leading solutions will solve their problems whilst delivering value to their business.


Your Primary Responsibilities Will Include


Client Strategy Design: Creating client strategies for... Data & AI infrastructure.
Solution Definition: Defining IBM Data & AI solutions that enhance technology stacks.
Educational Support: Providing proof of concepts and simplifying complex topics to educate clients.
Credibility Building: Establishing credibility and trust to facilitate the closure of intricate Cloud tech deals.


Required Technical and Professional Expertise


Business Goal Translation: Translating business goals into technical solutions through collaborative teamwork.
Stakeholder Influence: Utilizing strong interpersonal and communication skills to influence diverse senior stakeholders within enterprises.


Preferred Technical And Professional Expertise


Data & AI Market Knowledge: Expertise in the Data & AI market to quickly become a trusted client advisor (training on IBM's Data & AI offerings will be provided). more

Your Role and Responsibilities

An AI Engineer 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.
Solution Implementation and Deployment: Oversee the implementation and deployment of AI solutions, working closely with development teams to ensure adherence to best practices, quality standards, and performance requirements. Provide technical guidance and support during the implementation phase.
Solution Optimization and Performance: Continuously monitor and optimize the performance of AI solutions, including foundation models and large language models. Identify opportunities to enhance efficiency, accuracy, and speed through fine-tuning, algorithmic improvements, or infrastructure optimization.
Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.
Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
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.
Solutioning Experience: Solution architecture and design, translating business requirements into technical specifications, developing scalable and robust AI solutions.
Business Acumen: Experience collaborating closely with customers, understanding their needs, business objectives, and translating their requirements into effective AI solutions.
Excellent interpersonal and communication skills: Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
Growth mindset: Demonstrate a growth mindset to understand clients’ business processes and challenges.

Preferred Technical and Professional Expertise

Comprehensive Familiarity with IBM’s Offerings: Hands-on experience with any of IBM’s products and services (training across IBM’s product suite will be provided). more

Your Role and Responsibilities

Join us for a unique 6 month paid internship. This program will give you an opportunity to work on meaningful technology solutions, develop scalable software systems, interact and collaborate with research scientists and engineers in generative AI, quantum machine learning and cloud-based workflows.

Depending on your and experience interests, you will be... working in one of the following areas: foundation models, cloud platform development, generative AI, quantum computing applications, or climate and sustainability.

Required Technical and Professional Expertise

Currently enrolled in an Honours, Masters or Doctoral degree program in Computer Science, Computer & Electronics Engineering, Machine Learning, Data Science, Statistics, Quantum Computing or Quantum Information Science or related technical fields. Students who graduate prior to 1 May 2025 will not be eligible to apply.
Proficiency in Python, PyTorch and experience in at least one additional programming language such as Java, JavaScript, NodeJS, C/C++, etc.
For interest in Quantum Applications research, we require experience with Qiskit
For interest in climate and sustainability applications and research, we require some familiarity with geospatial and spatiotemporal data and methods
Require strong problem solving and analytical skills.
Require strong communication and collaboration skills.

Preferred Technical and Professional Expertise

Experience communicating your research in technical communities, such as publications in Neurips, CVPR, ICML, ICLR, IJCAI, AAAI, KDD, IEEE QCE or similar.
Experience in cloud native technologies and platforms.
A good understanding of machine learning concepts and some experience in MLOps
Familiarity with developing and using APIs. more