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: Get AI/ML researchers, hackers, and builders excited about Shunya Labs’ open models — from ASR to multilingual NLP — and help them integrate these into real-world applications. You’ll do this by being active where developers live (Hugging Face, GitHub, Kaggle, Reddit, Discord), creating high-quality technical content, sparking conversations, and organizing events that bring the open AI community together. 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.
Role Overview We are seeking an AI Engineer with 2–4 years of experience to design, build, and optimize AI/ML models—focusing on speech, NLP, and deployment at scale. You will work closely with our research and engineering teams to bring state-of-the-art models into production. Key Responsibilities Develop and fine-tune AI/ML models (ASR, NLP, deep learning). Build scalable training and inference pipelines. Optimize models for latency, accuracy, and CPU/edge deployment. Collaborate with MLOps/DevOps to deploy APIs and services. Monitor, test, and improve production models with real-world data. Requirements 2–4 years of hands-on experience in AI/ML engineering. Strong skills in Python , PyTorch/TensorFlow , and deep learning. Knowledge of NLP, speech/audio processing, or related domains. Experience in deploying models (APIs, Docker, cloud/on-prem). Good understanding of data preprocessing, model evaluation, and optimization. Bonus: familiarity with multilingual/Indic datasets, graph models, or noise-robust ASR. Why Join Us Work on cutting-edge voice AI with global impact. Opportunity to learn and contribute across research, engineering, and deployment. Fast-paced deep-tech startup with strong ownership and growth. About Us Shunya Labs.AI is a deep-tech company building next-generation ASR and voice AI infrastructure with multilingual fluency, record-low WER, and enterprise-grade deployments.