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.
We’re seeking a passionate AI Engineer to join our team and help build, train, and deploy intelligent systems that solve real-world problems. You’ll work on developing scalable machine learning and deep learning solutions, integrating them into production systems, and optimizing model performance for speed and accuracy. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for production use cases. Fine-tune LLMs , NLP , computer vision , or predictive analytics models based on business needs. Collaborate with data engineers to prepare and preprocess large datasets. Implement model serving pipelines using tools like TensorFlow Serving , TorchServe , FastAPI , or Docker . Optimize inference performance on GPU instances or edge devices . Conduct experiments, evaluate models, and iterate based on metrics (precision, recall, F1, AUC, etc.). Integrate AI modules into web or mobile applications via APIs or microservices. Stay updated on new AI architectures, frameworks, and tools (e.g., LangChain, Hugging Face, OpenAI APIs). Requirements Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field . 1+ years of hands-on experience in machine learning or deep learning model development. Strong programming skills in Python and experience with PyTorch , TensorFlow , or Keras . Experience with data preprocessing , feature engineering , and model evaluation . Familiarity with LLM frameworks (LangChain, Hugging Face Transformers, OpenAI API) is a plus. Proficiency in SQL/NoSQL , RESTful APIs , and Docker/Kubernetes . Preferred Skills Knowledge of vector databases (Pinecone, FAISS, Weaviate). Experience in prompt engineering , fine-tuning , or RAG (Retrieval-Augmented Generation) pipelines. Exposure to Generative AI applications (text, image, or voice). Why Join Us Work with cutting-edge AI technologies and real-world datasets. Be part of a fast-growing, innovation-driven team. Competitive salary and performance-based incentives. Flexible work culture with opportunities for upskilling and research contributions. About Us Shunya Labs is a deep-tech spinout from United We Care, purpose-built to revolutionize voice AI infrastructure. With a next-generation ASR engine boasting a record-low 3.37% Word Error Rate , native fluency across 32+ Indic languages , CPU-optimized, on-prem capable deployment , and military-grade privacy and explainability , we're enabling mission-critical deployments across healthcare, defense, rural, and enterprise environments
We’re seeking a passionate AI Engineer to join our team and help build, train, and deploy intelligent systems that solve real-world problems. You’ll work on developing scalable machine learning and deep learning solutions, integrating them into production systems, and optimizing model performance for speed and accuracy. Key Responsibilities Design, develop, and deploy machine learning and deep learning models for production use cases. Fine-tune LLMs , NLP , computer vision , or predictive analytics models based on business needs. Collaborate with data engineers to prepare and preprocess large datasets. Implement model serving pipelines using tools like TensorFlow Serving , TorchServe , FastAPI , or Docker . Optimize inference performance on GPU instances or edge devices . Conduct experiments, evaluate models, and iterate based on metrics (precision, recall, F1, AUC, etc.). Integrate AI modules into web or mobile applications via APIs or microservices. Stay updated on new AI architectures, frameworks, and tools (e.g., LangChain, Hugging Face, OpenAI APIs). Requirements Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field . 1+ years of hands-on experience in machine learning or deep learning model development. Strong programming skills in Python and experience with PyTorch , TensorFlow , or Keras . Experience with data preprocessing , feature engineering , and model evaluation . Familiarity with LLM frameworks (LangChain, Hugging Face Transformers, OpenAI API) is a plus. Proficiency in SQL/NoSQL , RESTful APIs , and Docker/Kubernetes . Preferred Skills Knowledge of vector databases (Pinecone, FAISS, Weaviate). Experience in prompt engineering , fine-tuning , or RAG (Retrieval-Augmented Generation) pipelines. Exposure to Generative AI applications (text, image, or voice). Why Join Us Work with cutting-edge AI technologies and real-world datasets. Be part of a fast-growing, innovation-driven team. Competitive salary and performance-based incentives. Flexible work culture with opportunities for upskilling and research contributions. About Us Shunya Labs is a deep-tech spinout from United We Care, purpose-built to revolutionize voice AI infrastructure. With a next-generation ASR engine boasting a record-low 3.37% Word Error Rate , native fluency across 32+ Indic languages , CPU-optimized, on-prem capable deployment , and military-grade privacy and explainability , we're enabling mission-critical deployments across healthcare, defense, rural, and enterprise environments
About Shunya Labs Shunya Labs is building the Voice AI Infrastructure Layer for Enterprises — powering speech intelligence, conversational agents, and domain-specific voice applications across industries. Born from deep work in mental-health AI and built for global enterprise scale, our stack combines state-of-the-art ASR/TTS models with an open-weights philosophy and CPU-first infrastructure, driving accuracy, privacy, and scalability. You will join at a pivotal moment — where GTM precision meets ecosystem expansion, defining how Voice AI enters the enterprise mainstream. Role Overview As Director – Ecosystem & Growth (Voice AI), you will be the GTM engine of Shunya Labs — responsible for architecting, operationalizing, and scaling the company’s enterprise growth motion across verticals and geographies. You’ll own revenue strategy, pipeline velocity, GTM partnerships, and demand generation, while leveraging community and ecosystem programs as scalable acquisition channels. You’ll work shoulder-to-shoulder with the CBO to define where and how Shunya Labs grows, who we sell to, and what partnerships accelerate our expansion in the Voice AI infrastructure market. Key Responsibilities 1. GTM Strategy & Execution • Define and implement the end-to-end GTM strategy across target industries — Healthcare, Contact Centers, Media, BFSI, and Developer Platforms. • Develop segmented value propositions for each buyer persona (CXOs, IT Heads, Product Leaders, Developer teams). • Design and own the sales playbook — from outbound prospecting, inbound qualification, demos, and proof-of-concepts to contract closure and expansion. • Lead pipeline generation, deal acceleration, and forecast accuracy; collaborate with Marketing for demand-gen campaigns, case studies, and field events. • Partner with the CEO/CBO to establish pricing strategy, revenue model, and tiered customer monetization (usage-based, API, and enterprise subscription models). • Set up a scalable GTM rhythm — from CRM hygiene, sales ops, and dashboards to win/loss analysis. 2. Ecosystem & Community Growth • Build and lead a Voice AI ecosystem of developers, integrators, and research collaborators on Discord, Hugging Face, and GitHub. • Design co-innovation programs, partner integrations, and hackathons to drive visibility and organic adoption. • Recruit and mentor community advocates and technical evangelists who represent Shunya Labs across developer and AI forums. • Translate community momentum into pipeline and brand equity, creating an always-on feedback loop between market, product, and GTM . 3. Strategic Partnerships • Identify and close strategic alliances with ISVs, System Integrators, and OEMs to drive enterprise distribution. • Build referral and reseller partnerships that scale reach and lower CAC. • Explore co-marketing and integration partnerships with major AI ecosystems (AWS, NVIDIA, OpenAI, Hugging Face). 4. Revenue & Metrics • Own ARR, MRR, CAC, LTV, and conversion metrics across direct and indirect channels. • Build a data-driven GTM engine — dashboards, reporting cadences, pipeline velocity analysis, and ROI attribution. • Create GTM OKRs that tie community health, pipeline growth, and revenue outcomes together. Required Experience & Skills • 10–12 years in enterprise GTM / revenue leadership (SaaS, AI/ML, Infrastructure). • Demonstrated success in developing and executing multi-channel GTM strategies — outbound, inbound, partner, and community-led. • Strong experience in enterprise sales, with exposure to large-deal structuring, multi-stakeholder negotiation, and long-cycle B2B selling. • Prior experience building or leveraging developer or open-source communities for market expansion. • Analytical and operational fluency: forecasting, pricing models, funnel analytics, and GTM automation tools (HubSpot, Salesforce, etc.). • Excellent communication and storytelling; can inspire confidence across leadership and developer audiences alike. • Bonus: Prior work in Voice AI, ASR/TTS, conversational AI, or speech-tech ecosystems (Deepgram, Speechmatics, ElevenLabs, OpenAI, etc.). Success Metrics (First 12 Months) • Revenue and pipeline growth (direct + ecosystem channels). • CAC and LTV improvements through GTM efficiency. • Conversion rate from community and partnership-led channels. • Enterprise logo acquisition and expansion across verticals. • Partner integrations launched and co-selling motions activated. • Brand visibility and developer engagement on Hugging Face, Discord, GitHub. What You’ll Get • End-to-end ownership of the Voice AI GTM engine — from strategy to execution. • A leadership role defining how enterprises adopt speech intelligence at scale. • Exposure to C-suite collaboration, investor conversations, and global partnerships. • Competitive compensation + variable linked to revenue and GTM KPIs. • Full-time, on-site role at Shunya Labs HQ, Gurgaon.