Academic Technical Lab Enablement Lead

Introduction
creativity. We are on the forefront of ground breaking change – improving businesses society and the human condition. As a leader in Hybrid Cloud and AI we are leading the charge in a world-wide digital transformation. Our Marketing Communications & Corporate Social Responsibility (MCC) team tells this story and is responsible for positioning IBM in the market. We define and optimize IBM’s brand capture the market’s attention and articulate our point of view for clients partners the media and even other IBMers. As part of our team you’ll be surrounded by bright minds and keen collaborators – always willing to help and be helped – as you apply passion to work that will compel our audience to choose IBM’s products and services. When you join IBM you join a culture of openness collaboration and trust. You join a team of IBMers who are helping technology support a positive global transformation. So join us and experience a place where you can co-create your learning and opportunities. A place where teamwork and unique ideas are treasured. A place where you can bring innovation to life.

Your Role and Responsibilities
This is an opportunity for you to help IBM and university stakeholders (universities faculty students) succeed in Data & AI space.

As a Data Scientist on the Academic Initiatives and Workforce Social Impact team you will:

• Design and develop learning experiences to effectively drive adoption of IBM technologies at universities and broader learner eco-system.
• Deliver classes and conduct office hours to train faculty and students.
• Capture best practices for ML Data/AI technologies create documentation like articles tutorials and hands-on workshops & demos.
• Demonstrate your passion to understand and learn new technologies to innovate and improve quality of service.
• Assist university stakeholders in defining designing implementing and deploying watsonx machine learning technologies.
• Participate in engagements with universities and non-profit partners.
• Enable stakeholders on IBM’s Data/AI technologies products.
• Effectively lead projects with multiple technical teams and external stakeholders across geographies

Required Technical and Professional Expertise

• 3 Years of experience in AI engineering or related roles with a strong focus on machine learning deep learning and natural language processing.
• Proficiency in programming languages such as Python Java or C++ along with experience with AI frameworks and libraries such as TensorFlow PyTorch or scikit-learn.
• Experience in or knowledge of generative AI using LLMs proprietary or opensource.
• Solid understanding of machine learning algorithms neural networks and statistical modeling techniques.
• Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments ensuring scalability reliability and efficiency.
• Ability to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment.
• Strong expertise in educational technologies and instructional design methodologies.
• Strong problem-solving skills and ability to work independently as well as collaboratively in a team environment.
• Excellent communication and interpersonal skills with the ability to effectively communicate technical concepts to non-technical stakeholders.
• Experience delivering engaging training classes and office hours

Preferred Technical and Professional Expertise

• 3+ years of experience in Big Data technologies (Hadoop Spark)
• Expertise with libraries such as transformers and langchain.
• Experience with deep learning models using Keras
• Deep Understanding of Statistical Machine Learning Models with Python or R
• Experience with Watson Studio and IBM AI API
• Understanding of data science open source technologies including Python Jupyter notebooks TensorFlow and Spark
• Big Data Certifications on Cloudera/Hortonworks/AWS/GCP/Azure
• Experience with AI Fairness 360 toolkit and/or Watson OpenScale
• Experience with IBM software solutions across multi-cloud platforms Pak for Data
• Experience in Data and AI offerings on Public clouds (AWS Azure Google etc.)
• Experience with Databases and Data engineering
• Experience working with faculty and/or researchers in academia
• Experience developing engaging hands-on exercises and demos to engage students and developers