Full-Stack & Machine Learning Developer Intern – GCP

We are looking for a Full-Stack and Machine Learning Developer Intern to build, deploy and improve AI-powered applications on Google Cloud Platform. *Responsibilities* * Develop responsive applications using React/Next.js and Node.js or Python. * Build APIs, databases, authentication and third-party integrations. * Prepare, clean and analyze structured and unstructured datasets. * Develop and evaluate machine learning models for classification, forecasting, recommendation and NLP use cases. * Build Generative AI applications using Gemini, Vertex AI and AI agents. * Implement RAG pipelines using embeddings, vector search and enterprise knowledge sources. * Deploy applications and ML models using Cloud Run, Firebase, Firestore and Vertex AI. * Support model evaluation, prompt testing, monitoring and performance optimization. * Collaborate with AI engineers and solution architects on real customer use cases. *Required Skills* * Knowledge of JavaScript/TypeScript, React and backend development. * Working knowledge of Python and libraries such as Pandas, NumPy and Scikit-learn. * Understanding of machine learning fundamentals, data preparation and model evaluation. * Familiarity with REST APIs, Git, SQL or NoSQL databases. * Basic understanding of GCP or another cloud platform. * Strong problem-solving skills and willingness to learn. *Good to Have* * Experience with Firebase, Firestore, Cloud Run, BigQuery or Vertex AI. * Familiarity with TensorFlow, PyTorch or XGBoost. * Understanding of LLMs, prompt engineering, embeddings and vector databases. * Experience with Docker, CI/CD and MLOps. * Previous AI, ML, chatbot or data analytics projects. *Internship Outcome* You will gain hands-on experience building production-ready full-stack, machine learning and Generative AI solutions on GCP while contributing to real enterprise projects at Stratova AI.