Job
Description
AI advocates, specializing within the NLP space. You’ll be responsible for developing and mentoring the team to develop their best work to contribute and amplify IBM’s credibility within engineering/AI communities. You will establish partnerships with our technical sales teams to understand the different use cases that are emerging within POCs You should be able to consume and understand information on complex technology topics from trusted sources to author informational articles and tutorials in a clear and concise manner. Your articles should avoid buzzwords and business jargon. 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 within our day-to-day work as a team Partner with product marketing to weave in IBM’s point of view on a specific technology topics. Navigate IBM products, like watsonx, to document common industry-related tasks (e.g. using a Jupyter notebook in watsonx.ai to build machine learning models) Collaborate with SEO strategists and user researchers to understand the content needs of our core audience You enjoy public speaking at meetups, conferences, and internal events. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong expertise in NLP – familiarity with transformers, LLMs, text classification, sentiment analysis, and named entity recognition. Experience with ML/DL frameworks – such as PyTorch, TensorFlow, Hugging Face, spaCy, or LangChain. Programming skills – proficiency in Python (primary), plus optional knowledge of JavaScript or other scripting languages. AI/ML model lifecycle knowledge – including data preprocessing, model training, evaluation, fine-tuning, and deployment. Hands-on with open-source AI/NLP tools – and understanding of community-driven innovation and best practices. Familiarity with MLOps – model versioning, monitoring, and pipeline management. Preferred technical and professional experience Advocacy & Community Engagement: Content creation – ability to write technical blogs, tutorials, demo code, and record videos/webinars that simplify complex NLP concepts. Public speaking – experience presenting at conferences, meetups, or internal forums. Developer relations – understanding how to engage, grow, and support AI/NLP developer communities. Social media presence – ability to build credibility and promote content on platforms.
