Hiring: Remote Data Science Intern (6 Months) – ZenoTalent Are you passionate about Data Science and ready to kickstart your career? ZenoTalent IT Services and Consulting is hiring Remote Data Science Interns for an exciting 6-month program (3 months training + 3 months internship). 🎓 Who Can Apply? ✅ Freshers ✅ Pre-final year students ✅ Recent graduates ✅ Candidates looking to gain real-world project experience in Data Science 📋 Internship Structure Total Duration: 6 Months First 3 Months: Training Phase (Hands-on learning with mentorship) Next 3 Months: Internship Phase (Work on live projects) 📌 Requirements Must be available on weekdays and weekends (flexible hours) Must have a laptop and stable internet connection Strong desire to learn, grow, and contribute Basic knowledge of Python, ML, or statistics is a bonus 💼 What You’ll Get 💻 Remote Internship Opportunity 🎓 Training Completion Certificate (after 3 months) 📄 Internship Experience Letter with project details (after 6 months) 💸 Stipend up to ₹15,000 (based on performance during internship) 🌟 Mentorship from industry experts 📈 Opportunity to work on real-world AI/Data Science projects Show more Show less

Job Title: AI/ML Intern Company: ZENO TALENT Location: Remote Duration: 6 Months (3 Months Training + 3 Months Internship) Stipend: Up to ₹15,000 (Performance-based) Start Date: Immediate openings available About the Opportunity: At NEOZENO TALENT LLP , we are committed to shaping the future of artificial intelligence by nurturing aspiring talent. Our 6-month AI/ML Internship Program is a structured pathway designed to empower freshers and early professionals with practical experience, hands-on projects, and direct mentorship from industry experts. Program Highlights: 🔹 Phase 1: Training (3 Months) This training phase focuses on the core concepts and tools required to build intelligent systems: Python Programming for AI Machine Learning Algorithms (Supervised, Unsupervised, Ensemble) Neural Networks & Deep Learning (Basics) Tools: NumPy, Pandas, scikit-learn, TensorFlow, Keras Version Control with Git and GitHub Capstone mini-projects with regular evaluations 🔹 Phase 2: Internship (3 Months) Work on real-world AI/ML use cases under the guidance of experienced mentors. You'll contribute to live projects and develop end-to-end models — from data preprocessing to deployment. Interns during this phase are eligible for a performance-based stipend of up to ₹15,000 , based on project contribution and dedication. Roles & Responsibilities: Assist in building and optimizing machine learning models Perform data cleaning, preprocessing, and feature engineering Participate in brainstorming sessions and sprint planning Analyze model performance and suggest improvements Document code, models, and workflows for team use Stay up to date with recent trends in AI/ML Who Can Apply: B.Tech/B.Sc/M.Sc students or graduates in Computer Science, AI/ML, Data Science, or related fields Basic knowledge of Python and Machine Learning Candidates with project experience (even academic) are preferred Those looking to build a strong portfolio or transition into an AI/ML role Career gap candidates and freshers are welcome Certificates Provided: AI/ML Training Completion Certificate (3 months) Internship Completion Certificate (6 months) Capstone project reports and GitHub contributions Support & Value: To ensure personalized mentorship, project guidance, and a quality learning experience, a one-time learning and development fee of ₹8,500 is applicable during the training phase. This enables us to provide: Live sessions with experienced AI/ML professionals Hands-on project environments Continuous evaluations and personalized feedback Career readiness support Note: The fee is fully refundable if you choose to withdraw before the training begins . Once training has started, the fee becomes non-refundable. Why Join Us: Work on real-world AI/ML projects Receive guidance from professionals with 5+ years of experience Build your GitHub and project portfolio Get shortlisted for full-time roles based on performance Earn a stipend during internship phase Show more Show less