AI Engineer

Responsibilities

• 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

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