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Table Of Contents
- Introduction
- What is Machine Learning?
- What Does a Machine Learning Engineer Do?
- Summary
Introduction
In this post, we discuss machine learning engineers’ work, and what they do. Currently, machine learning engineering is a great career option for enthusiastic people so before going into this career, we have to know what a machine learning engineer actually does.
What is Machine Learning?
Machine learning is a subset of Artificial Intelligence. Using Machine learning we can create a model which can be used for future prediction.
Here are some examples:
- Car Price Prediction
- House Price Prediction
- Text Classification
Now we are ready to know what does a machine learning engineer actually do?
What Does a Machine Learning Engineer Do?
A Machine Learning Engineer is responsible for designing the architecture of the machine learning project, building the machine learning models based on project requirements, and deploying the models on the production server.
A machine learning engineer creates an API of models using Programming languages like Python, R, or C++ and deployed it on the server.
The main purpose of a machine learning engineer is a create predictive models using different-different algorithms.
Their job duties include:
- Developing and implementing machine learning algorithms and models to solve complex business problems Collecting, cleaning, and organizing large datasets for use in training and evaluating models.
- Experiment with different algorithms and approaches to determine the best solution for a given problem.
- Building and deploying models in production, and maintaining and updating them as new data becomes available.
- Collaborating with data scientists, software engineers, and other stakeholders to understand the requirements and constraints of the problem and to ensure that the models and systems they build are effective and efficient
- Monitoring the performance of deployed models and implementing methods for improving their accuracy and functionality
It’s also worth noting that Machine learning engineers are software engineers who specialize in machine learning.
They need to know the programming languages such as Python and be familiar with some libraries like Tensorflow, scikit-learn, PyTorch, etc.
They also need to be familiar with technologies like cloud computing, big data, and containerization to build production-level solutions.
Also, you can read why being a machine learning engineer is a great career option.
Summary
This is a simple brief about the work of a machine learning engineer.
Happy Learning and Keep Learning…
Keep Learning…