AI Engineer

• 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.

Requirements

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