AI Engineer Intern

Job description

Introduction
At IBM, we're revolutionizing our approach to technology sales. Our watsonx Client Engineering teams are champions of co-creating solutions in real-time to solve complex business challenges.

As an AI Engineer within our watsonx Client Engineering team, you'll harness your unique skills and perspectives to engage in the development and deployment of watsonx offerings using our watsonx platform, creating 4-to-6-week pilots for clients, and contributing to IBM's story of growth and innovation.

In this role, you'll partner with technical leads, leaders across IBM and 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.

At IBM the possibilities are endless. We offer extensive onboarding and ongoing development, fostering an environment where you can thrive and shape your own career trajectory. Surrounded by a supportive team, you'll be integral in creating user-centric, compelling pilots that lead clients to continually invest in IBM’s people, products, and services.

Your Role and Responsibilities
As an AI Engineer at IBM is not just a job title - it's a mindset. Create Pilot validate and showcase the feasibility and effectiveness of the proposed watsonx offerings. You’ll leverage core watsonx offerings products under its foundational platform and large language models focusing on technology patterns to enhance repeatability and delight clients.

Industry Trends and Innovation: Stay up to date with the latest trends and advancements in watsonx, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation.

Business Acumen: Ability to understand customer needs and business objectives. Experience in working closely with customers and translating their requirements into effective AI solutions.

Required Technical and Professional Expertise

·  Education : Bachelor’s, Master’s in Computer Science, Artificial Intelligence, Data Science or a related field.
·  Technical Skills : Strong programming skills, with proficiency in Python and knowledge 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.
·  Soft Skills : 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

·  Proven experience in 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.