Ambrix Lifemedia

🔥 We’re Hiring: Machine Learning Intern by Ambrix We are working on an AI-powered lifestyle network on a mission to redefine how people connect online. In short a made-in-India, for-the-world social networking platform, characterised by uniqueness. We’re an early-stage startup, backed by big ambitions and bold ideas — and we’re building fast. We’re looking for a Machine Learning Intern who’s passionate about AI, thrives in experimental environments, and wants to sharpen their skills while contributing to the backbone of a next-gen platform. 👩‍ 💻 No. of Vacancies – One 🚀 What you’ll do • Work closely with the AI/engineering team to research, prototype, and deploy ML models • Explore state-of-the-art algorithms in NLP, recommendation systems, and computer vision • Build and fine-tune models, ensuring efficiency and scalability • Contribute to data preprocessing, feature engineering, and model evaluation • Help bring research into production-ready solutions. Critical thinking ability is a MUST . 🎯 What you bring • Strong foundation in Python, ML libraries (TensorFlow/PyTorch, Scikit-learn, etc.) • Good understanding of machine learning algorithms and deep learning basics • Familiarity with data handling, preprocessing, and visualization tools (Pandas, NumPy, Matplotlib) • Curiosity to explore real-world applications of AI and the ability to learn fast • Bonus: Experience with cloud-based ML workflows (AWS/GCP/Azure) . 🌟 Why Ambrix • Hands-on impact: Work on meaningful projects, not just dummy datasets • Learning: Mentorship from engineers and founders building at the cutting edge • Culture: Startup vibe, zero rigidity — your ideas matter here • Growth: Chance to convert to a full-time role based on performance 💰 Monetary Compensati on: Stipend – ₹50,000 per month . Durati on - 3 months 📄 How to Apply : Email your (1) short intro and (2) resume to ceo@ambrixlifemedia.com with subject “ML Intern – Ambrix . 👨‍💻 Process : 1. Resume & intro screening 2. Short ML/technical assignment 3. Interview with team (technical + culture fit) Top 20 and top 10 candidates will make it to second and interview stage respectively. All the best to the aspiring champions, let’s make it big together !!