• 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