AI Engineer

Overview

An AI Engineer designs, develops, and deploys intelligent systems to solve complex business or technical challenges, with a focus on integrating artificial intelligence and machine learning into products or workflows.

Responsibilities

• Model Development & Optimization: Design, train, fine-tune, and validate machine learning (ML) and deep learning models, including generative AI (LLMs), retrieval-augmented generation (RAG), and recommendation systems.
• Preprocess and analyze large datasets to extract insights and ensure data quality for model training.
• Optimize models for performance, scalability, and cost efficiency (e.g., model compression, hardware acceleration).
• Solution Deployment & Integration: Build and maintain end-to-end AI pipelines, including CI/CD workflows for seamless deployment.
• Integrate AI models into existing systems, applications, or APIs (e.g., integrating LLMs with tools like Micr...