AI Engineer

Overview

Design, build and deploy AI and machine learning models and intelligent automation solutions, working with LLMs, generative AI and NLP.

What you'll do

• Design, develop and implement AI and machine learning models.
• Build and deploy AI-powered applications and intelligent automation solutions.
• Develop, train, test and optimize machine learning and deep learning models.
• Work with Large Language Models (LLMs), Generative AI and Natural Language Processing (NLP).
• Prepare, clean, process and analyze datasets for model training.
• Develop AI solutions using Python and relevant AI/ML libraries.
• Integrate AI models with applications using APIs and backend services.
• Evaluate model performance and improve accuracy, efficiency and scalability.
• Collaborate with software developers, data scientists and product teams.
• Research emerging AI technologies, tools and industry best practices.
• Monitor deployed models and troubleshoot performance issues.
• Follow best practices for data privacy, security and responsible AI development.

What you'll need

• Python programming.
• Machine learning and deep learning.
• Artificial intelligence fundamentals.
• TensorFlow, PyTorch or Scikit-learn.
• NumPy, Pandas and Matplotlib.
• Natural language processing (NLP).
• Generative AI and large language models (LLMs).
• Prompt engineering.
• REST APIs and model integration.
• SQL and database fundamentals.
• Git and version control.
• Model evaluation and optimization.
• Problem-solving and analytical skills.