Machine learning models / AI models are becoming the backbones of most tech-powered companies. Operationalizing a machine learning model to serve a product at scale can be very challenging. This service includes some or all the following: 

• Data collection from different sources including real-time streaming as needed
• Data cleaning pipeline setups such as data cleaning, data standardization, data normalization, missing values imputation, and a lot more as the data needs
• Data enrichment to add more valuable attributes for your data from multiple other data sources
• Model Selection and training 
• Model Hyperparameters tuning/validation 
• Model containerization and deployment either on cloud or on-premise 
• Machine learning model monitoring system setup 

An example picture of machine learning model here: https://drive.google.com/file/d/1qiKFv7zxuJfF5DugD4WzEgn_NzrJ3CEx/view?usp=sharing