An AI Engineer is a professional who designs, develops, and deploys artificial intelligence and machine learning systems to solve complex business problems. They are responsible for creating and maintaining AI models and algorithms that can be used to automate tasks, improve decision-making, and predict outcomes.
- Design and develop AI and machine learning models and algorithms
- Clean, preprocess and manipulate data to prepare it for modeling
- Train, test, and evaluate AI models
- Deploy AI models into production systems
- Collaborate with cross-functional teams to implement AI solutions
- Monitor and maintain AI models in production
- Continuously improve and optimize AI models
- A degree in a relevant field such as computer science, data science, or mathematics
- Strong understanding of AI and machine learning concepts and techniques
- Experience with programming languages such as Python, R and SQL
- Strong analytical and problem-solving skills
- Strong communication and teamwork skills
- Experience with machine learning libraries such as scikit-learn, TensorFlow, and/or Keras
- Experience with cloud platforms such as AWS, GCP, or Azure is a plus
The role of an AI Engineer requires a person who is passionate about AI and machine learning, has a solid understanding of these technologies, and has the ability to adapt to the needs of the business. They must be able to design, develop, and deploy AI models and algorithms that can be used to automate tasks, improve decision-making, and predict outcomes. They must also be able to continuously improve and optimize AI models to ensure they are meeting the needs of the business.