AI Evangelist-Open Models

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Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

As an Open Model AI Evangelist at ShunyaLabs.ai, you will be the catalyst for adoption of our open, builder-first AI models across the global developer ecosystem.


Your mission:


Key Responsibilities:

Developer Advocacy & Ecosystem Presence

· Represent Shunya Labs across Hugging Face, GitHub, Kaggle, Reddit, LinkedIn, and Discord.

· Engage directly with developers, researchers, and open-source maintainers to showcase our open models.

· Spot opportunities for integrations, collaborations, and adoption in real-world products.

 

Technical Content Creation

· Publish tutorials, benchmarks, and sample apps demonstrating our open model stack.

· Launch Hugging Face Spaces and GitHub repos showcasing use cases.

· Collaborate with marketing to create engaging developer-facing content (deep dives, explainers, memes, short videos)


Community Growth & Activation

· Organize online hackathons, Kaggle challenges, and “build with Shunya” events.

· Run AMAs, webinars, and conference talks to expand reach and influence.

· Seed and mentor open-source contributions.

 

Feedback Loop

· Gather developer feedback on models, APIs, and documentation; feed actionable insights to engineering and product teams.

· Track and report adoption metrics (downloads, forks, pull requests, Spaces built) to inform strategy.


Qualifications:

Must-Have

· Graduate from a Tier-1 engineering or technical institution (IIT/NIT/BITS/IIIT or top global universities).

· Passion for AI/ML, with experience in open-source AI communities.

· Strong technical communication skills — able to explain complex AI concepts to both technical and semi-technical audiences.

· Track record of contributions in open-source, developer relations, or ML research.

 

Nice-to-Have

· Experience with Hugging Face model hosting, Spaces, and datasets.

· Familiarity with Kaggle competitions, GitHub OSS workflows, and Discord community building.

· Ability to create quick demos, notebooks, or deploy lightweight models.


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