Artificial Intelligence Intern

Job Description

About Deepkore Deepkore lets you transform ideas into powerful enterprise applications that adapt to your business needs. One platform. No coding. Completely hassle-free. We're revolutionizing how businesses build and deploy enterprise applications through our no-code platform that combines intuitive design with AI-powered intelligence. Transform your business and boost productivity with Deepkore—effortlessly build enterprise apps that keep pace with your business's rapid growth, all without writing a single line of code. You'll join our growing engineering team as we enhance our platform with cutting-edge AI capabilities that make application building even more intelligent and intuitive for our enterprise customers. The Role Join our AI team as an AI Intern and help build the next generation of intelligent features for Deepkore's no-code enterprise platform. You'll work at the intersection of machine learning and full-stack development, creating AI solutions that make application building more intuitive and powerful for enterprise users. This isn't just about building models—you'll see your work integrated into a platform that transforms how businesses create and deploy applications. What You'll Do Core Responsibilities Build & Deploy ML Models: Develop recommendation engines, predictive analytics models, and NLP features for our core platform Data Analysis & Insights: Analyze user behavior patterns and product metrics to identify AI enhancement opportunities Full-Stack Integration: Collaborate with our MERN stack team to seamlessly integrate AI features into our web application Prototype & Experiment: Rapidly test new AI-driven features using A/B testing and user feedback Documentation & Presentation: Create technical documentation and present findings to cross-functional teams Specific Projects You Might Work On Smart App Generation: AI-powered suggestions for app structures and workflows based on business requirements Intelligent Component Recommendations: ML models that suggest optimal UI components and data flows Natural Language App Building: NLP interfaces that convert business descriptions into functional app prototypes Automated Testing & Optimization: AI systems that test and optimize app performance automatically Smart Data Integration: ML-powered connectors that intelligently map and transform enterprise data sources What We're Looking For Required Qualifications Currently pursuing B.E in Computer Science with Artificial Intelligence Strong Python Skills: Proficient with scikit-learn, pandas, numpy, matplotlib/seaborn ML Fundamentals: Understanding of supervised/unsupervised learning, model evaluation, and feature engineering Problem-Solving Mindset: Ability to break down complex problems and iterate quickly Communication Skills: Can explain technical concepts to both technical and non-technical stakeholders Highly Preferred (MERN Stack Knowledge) React: Component-based development, hooks, state management Node.js/Express: RESTful API development and server-side logic MongoDB: Database design and querying for ML applications Full-Stack Understanding: How ML models integrate with web applications Bonus Points Experience with TensorFlow, PyTorch, or Hugging Face Transformers Knowledge of cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML) Familiarity with Docker, Git, and CI/CD workflows Previous internship or project experience in production ML systems Technical Skills Production ML deployment and monitoring Full-stack integration of AI features Modern MLOps practices and tools Agile development in a fast-paced environment Ready to Apply? Fill this form or attach Resume https://forms.office.com/r/bQ2YEL1wXz Show more Show less