Machine Learning Engineering Internship
Train, evaluate, deploy, and monitor ML models for real-world applications.
Build production-grade projects with senior mentors. Earn a verified, cryptographically signed certificate. Get into the rooms that hire.
Train, evaluate, deploy, and monitor ML models for real-world applications.
Build production-grade web applications using modern frontend and backend technologies.
Build LLM-powered applications, RAG systems, AI copilots, and intelligent products.
Data analysis, visualization, SQL, dashboards, and business intelligence workflows.
Build autonomous agents, multi-agent workflows, tool calling systems, MCP integrations, and AI automations.
AWS, Docker, Kubernetes, CI/CD, monitoring, and cloud deployment.
Web security, OWASP, VAPT, penetration testing, and security assessment.
User research, wireframing, prototyping, design systems, and product design.
Yes — every CELIT internship is fully remote with weekly live mentor sessions and async reviews.
Every program ends with a mentor-attested, cryptographically signed certificate that's verifiable on celit.tech/verify.
Most tracks are intermediate-friendly. Beginner tracks bridge fundamentals in week 1. Each program lists its prerequisites.
All programs include a refundable trial week. If it isn't a fit, we refund — no questions asked.