Produce institutional-grade research on AI industry trends, delivering macro insights and sector-level analyses for internal and external stakeholders. Develop data-driven reports on advancements in machine learning, deep learning, LLMs, generative AI, robotics, autonomous systems, and enterprise AI adoption.
Generate sector-specific analyses including—but not limited to—AI infrastructure, model architectures, agentic systems, applied AI use cases, and responsible AI frameworks.
Communicate research findings verbally and digitally with agility across multiple formats—including executive briefings, presentations, webinars, and panel discussions—in varied environments.
Stay constantly up-to-date with global AI breakthroughs, regulatory developments, safety standards, and competitive landscape shifts.
Serve as a fluent, confident keynote speaker or moderator at AI conferences, corporate events, and institutional collaborations—while elevating the depth of relationships with event partners and speakers.
Translate complex AI concepts into clear, accessible messages for both technical and non-technical audiences, strengthening the company's thought leadership and industry influence.
Qualifications
Strong understanding of AI technologies, model architectures, and industry narratives, with awareness of emerging trends from both technical and commercial angles. Able to contextualize modern AI advancements through a solid grasp of AI.
Extensive knowledge of global tech markets, AI infrastructure, cloud ecosystems, data pipelines, and computational economics.
Experience in evaluating AI model performance, training methodologies, inference optimization, prompt engineering, and safety alignment principles.
Excellent communication and presentation skills, with demonstrated ability to simplify complex AI research into compelling narratives.
Prior experience as a speaker, moderator, or educator in AI-related events is a strong advantage. Strong articulation and interpersonal skills, able to operate in high-pressure, fast-paced work environments.
Experience working with or analyzing tools such as Hugging Face, TensorBoard, LangChain, Weights & Biases, or other AI research/monitoring platforms.
