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