Key AI Job Roles

by MentorX December 21, 2025 5 min read 5 views 0 comments

AI Job Roles Overview

🤖 Quick Overview of Key AI Job Roles

Explore the top AI career paths and their responsibilities.

Builds ML models using algorithms and data. Skilled in Python, scikit-learn, TensorFlow, PyTorch, and model deployment.

Analyzes large datasets to uncover insights and build predictive models. Combines statistics, programming, and business understanding.

Explores new algorithms, architectures, and theories in AI. Often works on cutting-edge projects like LLMs, vision models, or robotics.

Specializes in image/video processing and recognition using deep learning (CNNs), OpenCV, and tools like YOLO or Detectron2.

Focuses on text and language. Works with LLMs, tokenization, sentiment analysis, and models like BERT, GPT, T5, etc.

Leads AI product development. Bridges the gap between business, data, and engineering to deliver AI-driven solutions.

Ensures AI systems are fair, transparent, and accountable. Focuses on bias detection, privacy, and ethical deployment.

Combines AI with hardware to build intelligent robots capable of autonomous navigation, manipulation, and learning.

Works on neural networks for tasks like image recognition, speech, and generative AI using frameworks like PyTorch or TensorFlow.

Crafts and optimizes prompts for LLMs like GPT-4. Builds apps using APIs, LangChain, vector DBs, and RAG pipelines.