Preprocessing techniques Jobs

Responsibilities

An AI Model Programmer, sometimes referred to as an AI Engineer or Machine Learning Engineer, is an engineer who specializes in programming, developing, implementing, and maintaining artificial intelligence (AI) models and systems. Here are some of their responsibilities:
 Data Collection and Preprocessing: Collect and preprocess data to be used in machine learning models. This could include cleaning, normalization, feature extraction, and other necessary transformations
 Model Development: Develop and train various machine learning models. This involves selecting an appropriate model architecture (like a neural network structure  CNN or RNN), training the model on a dataset, and optimizing it to achieve the best performance
 Model Validation and Testing: Validate the performance of AI models using appropriate metrics and statistical techniques. They perform various tests to ensure the model's accuracy, precision, recall, or other relevant metrics
. Implementation: Implement the AI models into larger systems or products. This could involve translating a prototype model into a form that can be used by other software, ensuring it can interact properly with other system components
 Collaboration: Collaborate with other teams like data scientists, data engineers, product managers, etc., to ensure the AI models serve the intended purposes and fit into the larger system or product.

Skills: data engineering,collaboration,neural network,programming,artificial intelligence,rnn,model testing,normalization,data science,maintaining,statistical techniques,model validation,product management,developing,preprocessing,model development,implementing,machine learning,cnn,performance metrics,cleaning,implementation,model optimization,model training,data collection,feature extraction,