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3 Job openings at Sunday Labs
Community Growth & Outreach Intern

Gurugram, Haryana, India

0 years

Not disclosed

Remote

Full Time

🚀 We’re Hiring: Community Growth & Outreach Intern 📍 Remote | 🗓️ Mon–Fri | 💰 ₹10,000/month (Paid Internship) We’re a fast-growing, tech-driven company taking our podcast global — and we’re looking for an organized, proactive intern to lead guest outreach and coordination . 🌍🎙️ What you’ll do: ✨ Identify & reach out to top podcast guests (India + International) 📅 Schedule & manage daily podcast recordings 📧 Handle follow-ups via email, LinkedIn & calls 📂 Keep guest data & communication organized 🤝 Coordinate with internal teams on timing & content You’re a great fit if you: ✔️ Communicate well & follow up like a pro ✔️ Are super organized and detail-focused ✔️ Love building professional relationships 🎓 Bonus: Background in PR, Communications, or Media What you’ll gain: 🎧 Hands-on experience running a global podcast 🌐 Exposure to top industry leaders 💼 Strong experience in content & outreach Excited to be part of something big? DM me or apply now! #Hiring #RemoteInternship #PodcastJobs #OutreachInternship #ContentCareers #PRInternship #InternshipAlert #CommunityGrowth Show more Show less

TA Manager

Gurugram, Haryana, India

0 years

None Not disclosed

On-site

Full Time

🎯 Now Hiring: TA Manager (a.k.a The Fixer of All Things Talent) Let’s be honest — we’re not looking for a "people person." We’re looking for someone who can herd recruiters, charm clients, kill open roles, and make sure nothing ever falls through the cracks (yes, even when the JD is vague and the client wants a unicorn by tomorrow). 🧩 Your actual job description: - Lead a team of 10–12 recruiters without losing your mind - Ensure zero spillages (translation: no ghosted follow-ups, no messy dashboards) - Build client trust so strong they message you, not HR - Close every open role within the agreed TAT (because you secretly love pressure) - Translate chaos into structure, and panic into process - Ability to close roles received, yesterday! Prior experience with staff aug and contractual hiring is mandatory! If you're someone who delivers with grace, grit, and Google Sheets, slide into my DMs or send your resume to shivam.sharma@sundaylabs.io Let’s make hiring look easy (even though we both know it’s not). #TAManager #recruitment #staffaug #talentfixer #closingroleslikeapro #TAwithHumor

Senior Machine Learning Engineer - Generative AI

Gurugram, Haryana, India

3 years

None Not disclosed

On-site

Full Time

Key Responsibilities Design and develop advanced generative models including Diffusion Models, GANs, 3D VAEs, and autoregressive models for AI-powered media synthesis. Build and optimize end-to-end content generation pipelines for high-fidelity image, video, and lip-sync generation. Develop multimodal AI systems that integrate speech, video, and facial animation for hyper-realistic content output. Implement and fine-tune models for real-time performance, using techniques such as model quantization, pruning, and distillation. Collaborate with engineering teams to deploy AI models on scalable cloud platforms (AWS, GCP, Azure). Conduct rigorous experimentation to improve model accuracy, realism, and computational efficiency. Stay updated with the latest research in deep generative models, transformer-based vision systems, and multimodal AI. Participate in code reviews, maintain high standards of code quality, and document key findings to support internal knowledge sharing. Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. Minimum 3 years of hands-on experience working with deep generative models (Diffusion Models, GANs, VAEs). Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Proven experience in text-to-image, image-to-video, and audio-to-lip-sync model development. Solid understanding of machine learning principles, statistical modeling, and neural network architectures. Familiarity with real-time inference optimization and deployment on cloud environments (AWS, GCP, Azure). Experience working with multimodal architectures and transformer-based models like CLIP, BLIP, or GPT-4V. Contributions to open-source projects or peer-reviewed publications in generative AI, speech synthesis, or video generation are a plus. Key Skills PyTorch AWS Google Cloud Platform (GCP) Azure

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