AIM | Technology Evangelist | bangalore
1 week ago
Key Responsibilities:
Thought Leadership:
Represent AIM Media House as a subject matter expert at conferences, events, and webinars, delivering compelling stage presentations and panel discussions.
Create and disseminate thought-provoking insights to establish AIM’s leadership in AI and analytics.
Stage Speaking and Engagement:
Act as the lead speaker and moderator for AIM’s flagship events, including Cypher and MachineCon.
Deliver captivating keynote speeches and panel moderations that resonate with diverse audiences.
Content Development:
Collaborate with editorial teams to produce high-impact content, including blogs, whitepapers, and reports.
Simplify complex AI concepts into engaging and accessible content for professionals and enthusiasts.
Community Building:
Engage with AI practitioners, researchers, and enthusiasts to foster a thriving community around AIM’s initiatives.
Actively participate in industry forums, online communities, and social media to promote AIM’s thought leadership.
Event Collaboration:
Partner with event teams to design agendas, identify high-profile speakers, and host sessions that align with market trends.
Ensure events reflect cutting-edge AI developments and audience interests.
Networking and Advocacy:
Build relationships with AI leaders, academic institutions, and industry influencers to amplify AIM’s visibility.
Stay ahead of emerging AI trends and leverage them to create impactful narratives and collaborations.
Training and Development:
Contribute to AIM’s training initiatives by designing and delivering workshops, webinars, and certification programs.
Mentor internal teams to strengthen their knowledge of AI and related fields.
Qualifications and Skills:
Experience: 10+ years in AI, data science, analytics, or a related domain, with significant exposure to public speaking and thought leadership.
Stage Speaking Expertise: Proven experience as a keynote speaker, panelist, or moderator, with strong storytelling and presentation skills.
Technical Proficiency: Deep understanding of AI tools, technologies, and trends, with the ability to translate them into actionable insights.
Community Engagement: Passion for building and engaging with professional communities both online and offline.
Content Creation: Ability to craft compelling, insightful, and audience-centric content.
Networking Skills: Strong connections within the AI ecosystem, including academia, industry, and startups.
Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
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