Machine Learning Engineer

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About this service

Summary

As a Machine Learning Engineer offering services as an independent, my primary responsibility is to develop machine learning models that solve complex business problems. I work closely with my clients to understand their data and the problems they are trying to solve. I analyze and preprocess data to prepare it for training machine learning models. I build and train machine learning models using popular frameworks like TensorFlow, PyTorch, and scikit-learn. I evaluate and select the best machine learning model based on the requirements of the client, and deploy the model to production environments using APIs, containers, or other deployment techniques. I provide documentation that describes the machine learning model, the data used, and the evaluation metrics. I provide unit tests to ensure that the machine learning model is working as expected, and ongoing maintenance and support to ensure that the model continues to work as expected.

What's included

  • Data Analysis and Preprocessing

    I will perform data analysis and preprocessing to prepare the data for machine learning model training. This will include data cleaning, feature extraction, feature selection, and other data preprocessing techniques.

  • Machine Learning Models

    I will build and train machine learning models using popular frameworks like TensorFlow, PyTorch, and scikit-learn.

  • Deployment

    I will deploy machine learning models to production environments, including web and mobile applications, cloud platforms, and other systems. This may involve using APIs, containers, or other deployment techniques.

  • Documentation

    I will provide documentation that describes the machine learning model, the data used, and the evaluation metrics. This documentation will be understandable by both technical and non-technical stakeholders.


Skills and tools

Data Scientist
ML Engineer
Scientist
AWS
Docker
Python
PyTorch
TensorFlow

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