Overview
About Cinevestor.in:
Cinevestor is India’s emerging media-tech platform revolutionizing how films are funded and made. With in-house film production and a mission to support independent filmmakers, we're blending technology and creativity. Our current focus includes developing tools to analyze scripts using AI/ML models trained on past Bollywood data, making content more aligned with audience trends and investor interests.
Intern Role: Full Stack Developer + AI/ML Engineer
Your Responsibilities:
- Build and maintain scalable applications using Java Spring Boot for backend
- Assist in developing and integrating AI/ML models for script analysis, genre prediction, and sentiment scoring using historical Bollywood scripts and performance data
- Deploy models and applications on Azure and AWS
- Work with creative teams to align technical features with storytelling goals
- Handle data cleaning, processing, and analysis pipelines for Bollywood script data
- Collaborate on dashboards or tools for insights visualization
Required Skills:
✅ Strong command of Java and Spring Boot
✅ Experience or strong interest in AI/ML (Python, TensorFlow/PyTorch, scikit-learn)
✅ Knowledge of Natural Language Processing (NLP) and script/content analysis
✅ Familiarity with cloud deployment on Azure and/or AWS
✅ Ability to work with datasets from Bollywood (box office data, plot summaries, genres, etc.)
✅ Basic frontend knowledge (React.js, Angular or HTML/CSS) is a plus
✅ Passion for cinema and interest in the Bollywood industry is highly appreciated
What We Offer:
- Hands-on exposure to real-world AI/ML applications in entertainment
- Chance to shape content strategy for actual films and web series
- Experience in a fast-growing media-tech startup
-Internship Certificate, strong LinkedIn recommendation, and PPO opportunity for top performers
-Remote flexibility and collaborative team culture
Job Type: Contractual / Temporary
Contract length: 6 months
Pay: ₹1,000.00 - ₹3,000.00 per month
Benefits:
- Flexible schedule
- Work from home
Location Type:
- Remote
Schedule:
- Evening shift
- Rotational shift
- Weekend availability
Work Location: Remote
Application Deadline: 05/06/2025