# Artificial Intelligence Developer Internship at CryptoMize An Artificial Intelligence Developer at CryptoMize builds the engineering half of the intelligence stack — AI algorithms and machine-learning code written, tested, and deployed against real engagement data, with the APIs, evaluation harnesses, and platform standards that make models usable and trustworthy in production. The Artificial Intelligence Developer Internship at CryptoMize in Delhi is a 6-month certified program with a rolling, always-open intake — immediate starts, real engagements from month one. Models do not help clients until someone engineers them into the platform — tested, served, versioned, and monitored. AI Developer interns do that engineering on real systems: NLP components feeding reputation work, inference services behind products, and the evaluation harnesses that catch silent degradation before clients do. For freshers and final-year students who want AI engineering experience where your code carries real inference load, here is the complete internship description — the required skills, the eligibility, and the selection process, in full. ## Facts - Location: New Delhi (HQ), CDR Building, Chhatarpur - Type: 6-month internship, certification provided - Availability: immediate, rolling intake (always hiring) - Compensation: discussed at screening ## What you will actually do - Design and integrate AI capabilities into CryptoMize platforms and client deliverables — the engineering half of the intelligence stack", "Write, test, and deploy AI algorithms and machine-learning code that survives contact with real, messy engagement data", "Build the integration layer between models and products — APIs, inference services, and the glue that makes a model usable by people who never see Python", "Implement NLP components for sentiment, entity, and language work feeding reputation and political engagements", "Own the evaluation harnesses: tests that catch when a model update silently degrades output quality", "Ship inside the platform engineering standards — code review, versioning, and the security posture an intelligence firm requires", "Work with analysts who bring the problems and measure whether what you shipped actually solves them ## Skills - Python engineering beyond notebooks — production code habits", "Machine-learning integration — serving models behind APIs", "NLP implementation — sentiment, entity extraction, embeddings", "Testing and evaluation harness construction", "REST API design and integration", "Git discipline — branching, review, clean history", "Data wrangling for training and inference pipelines", "Distributed-computing basics", "Security-conscious engineering habits", "Reading research enough to prototype honestly", "Collaboration with analysts and product staff", "Documentation of what was built and why ## Tools - Python (FastAPI, pandas, scikit-learn)", "PyTorch or TensorFlow", "Docker", "Git & GitHub", "PostgreSQL Apply: https://cryptomize.com/careers/internship/apply/