Artificial Intelligence Intern

Job descriptionAbout 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 RoleJoin 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 DoCore ResponsibilitiesBuild & Deploy ML Models: Develop recommendation engines, predictive analytics models, and NLP features for our core platformData Analysis & Insights: Analyze user behavior patterns and product metrics to identify AI enhancement opportunitiesFull-Stack Integration: Collaborate with our MERN stack team to seamlessly integrate AI features into our web applicationPrototype & Experiment: Rapidly test new AI-driven features using A/B testing and user feedbackDocumentation & Presentation: Create technical documentation and present findings to cross-functional teamsSpecific Projects You Might Work OnSmart App Generation: AI-powered suggestions for app structures and workflows based on business requirementsIntelligent Component Recommendations: ML models that suggest optimal UI components and data flowsNatural Language App Building: NLP interfaces that convert business descriptions into functional app prototypesAutomated Testing & Optimization: AI systems that test and optimize app performance automaticallySmart Data Integration: ML-powered connectors that intelligently map and transform enterprise data sourcesWhat We're Looking ForRequired QualificationsCurrently pursuing B.E in Computer Science with Artificial IntelligenceStrong Python Skills: Proficient with scikit-learn, pandas, numpy, matplotlib/seabornML Fundamentals: Understanding of supervised/unsupervised learning, model evaluation, and feature engineeringProblem-Solving Mindset: Ability to break down complex problems and iterate quicklyCommunication Skills: Can explain technical concepts to both technical and non-technical stakeholdersHighly Preferred (MERN Stack Knowledge)React: Component-based development, hooks, state managementNode.js/Express: RESTful API development and server-side logicMongoDB: Database design and querying for ML applicationsFull-Stack Understanding: How ML models integrate with web applicationsBonus PointsExperience with TensorFlow, PyTorch, or Hugging Face TransformersKnowledge of cloud platforms (AWS SageMaker, GCP AI Platform, Azure ML)Familiarity with Docker, Git, and CI/CD workflowsPrevious internship or project experience in production ML systemsTechnical SkillsProduction ML deployment and monitoringFull-stack integration of AI featuresModern MLOps practices and toolsAgile development in a fast-paced environment