Artificial Intelligence Freshers / Graduates Remote / Telecommute

AI & Machine Learning Engineering Trainee

Work on artificial intelligence pipelines, Large Language Model (LLM) fine-tuning, neural networks, and computer vision models.

Key Responsibilities & Tasks

  • Assist in training PyTorch / TensorFlow neural network pipelines.
  • Integrate OpenAI, HuggingFace, and RAG vector search APIs into web applications.
  • Preprocess text, image, and tabular datasets for deep learning workflows.

Required Skills & Qualifications

  • Basic understanding of Python and linear algebra concepts.
  • Interest in Generative AI, LLMs, and Neural Networks.
  • Strong enthusiasm for cutting-edge AI technologies.

AI & Deep Learning Internship Roadmap

Every trainee at CACTS undergoes our structured 1-to-1 developer mentorship protocol to ensure direct transition from academic concepts to production-grade engineering workflows.

Phase 1

1-to-1 PyTorch & Neural Network Architecture Setup

Phase 2

Building RAG Vector Search & LLM Fine-Tuning Pipelines

Phase 3

ISO 29993:2017 Model Evaluation & Git Code Review

Phase 4

Live AI Deployment & Production Portfolio Verification

Explore our Live Projects Internship Program, check the 1-to-1 Technical Syllabus, or verify credentials via our ISO 29993:2017 Certificate Verification Portal.

Need hands-on AI & Deep Learning training?

Our 1-to-1 AI & ML Program guides you through PyTorch, TensorFlow, LLMs, and RAG architectures with 100% practical mentor support.

Explore AI & Machine Learning Course >

Apply for this Position

Submit your application for immediate 1-to-1 screening.

Data Privacy & Consent Notice