Become a job-ready AI/ML engineer by building and deploying six real systems — from classical ML to MLOps, GenAI and autonomous agents. This Hyderabad paid internship is project-based and mentor-led, with AI, cyber security and cloud built into the track as mandatory parallel modules.

What You'll Build

Customer-churn model served via FastAPI on AWS
NLP sentiment platform fine-tuning BERT with a React dashboard
End-to-end MLOps pipeline (train → registry → Seldon deploy → monitor)
Enterprise RAG chatbot with a RAGAS evaluation dashboard
Autonomous ML-engineer agent (LangGraph + CrewAI + MCP)
AIOps platform with AI-generated runbooks

Every project is deployed to AWS, Azure or GCP with a real URL and lives on your GitHub.

Curriculum

ML Foundations

Python for ML (NumPy, Pandas, Polars), scikit-learn pipelines, supervised & unsupervised learning, model evaluation.

Deep Learning & NLP

PyTorch training loops, CV (ResNet, YOLOv8), NLP with BERT fine-tuning and HuggingFace Transformers.

MLOps & Production

MLflow, Kubeflow Pipelines, Seldon Core, Feast feature store, Evidently drift monitoring, AWS SageMaker.

GenAI & LLMs

LangChain LCEL, Pinecone hybrid RAG, RAGAS evaluation, LangFuse, VLLM inference, QLoRA fine-tuning.

Agentic AI

LangGraph stateful agents, CrewAI multi-agent collaboration, custom MCP servers, multimodal RAG.

AIOps & Capstone

Anomaly detection, Prophet predictive auto-scaling, AI runbooks, and a capstone agent.

Throughout, you also do daily DSA (100+ problems), system design, mock interviews, and resume/LinkedIn preparation.

Internship Fee Structure

Standard (day scholar): Rs.6,000/month while training + Rs.80,000 after a confirmed job offer.
Residential (live-in): Rs.11,000/month while training (accommodation + meals included) + Rs.80,000 after a job offer.

The Rs.80,000 success fee is due only after a confirmed job offer letter. There is no time limit on support — Cloud Soft supports you until you are placed (we say support until placed, not "guaranteed placement").

Placement Outcomes

Roles: ML Engineer · MLOps Engineer · LLMOps Engineer · AI Research Engineer · Agentic AI Engineer.

Typical placement salary: Rs.8–32 LPA.

Get Started

Call or WhatsApp 9666019191 for a free 30-minute assessment. See the full internship program, the residential option, and our AI & ML internship guide.