Machine Learning Engineer
If you like developing machine learning models, working with large datasets, and coding in python or r this role is for you.
A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data. They work with large datasets, develop models, and apply techniques like neural networks to enhance predictive accuracy.
Skills you’ll need: PyTorch (Machine Learning Library), Java Programming, Deep Learning, Artificial Intelligence, Natural Language Processing, Apache Spark, Amazon Web Services, Algorithms
Machine Learning Engineer
If you like developing machine learning models, working with large datasets, and coding in python or r this role is for you.
A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data. They work with large datasets, develop models, and apply techniques like neural networks to enhance predictive accuracy.
Skills you’ll need: PyTorch (Machine Learning Library), Java Programming, Deep Learning, Artificial Intelligence, Natural Language Processing, Apache Spark, Amazon Web Services, Algorithms
Recommended credentials
Supervised Machine Learning: Regression and Classification
Course 1 of 3
Advanced Learning Algorithms
Course 2 of 3
Unsupervised Learning, Recommenders, Reinforcement Learning
Course 3 of 3
Introduction to Image Processing
Course 1 of 9
Image Segmentation, Filtering, and Region Analysis
Course 2 of 9
Automating Image Processing
Course 3 of 9
Introduction to Computer Vision
Course 4 of 9
Machine Learning for Computer Vision
Course 5 of 9
Object Tracking and Motion Detection with Computer Vision
Course 6 of 9
Introduction to Deep Learning for Computer Vision
Course 7 of 9
Deep Learning for Object Detection
Course 8 of 9
Advanced Deep Learning Techniques for Computer Vision
Course 9 of 9
A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.
description:A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.
If you like: analyzing complex datasets, developing machine learning models, solving statistical problems.
This role has a $115,515 median salary ¹.
This role has approximately 60,007 jobs available ¹.
A Data Analyst collects, cleans, and interprets data, using tools like Excel, SQL, and Tableau to analyze trends and provide insights for decisions.
description:A Data Analyst collects, cleans, and interprets data, using tools like Excel, SQL, and Tableau to analyze trends and provide insights for decisions.
If you like: analyzing data to find insights, creating reports and visualizations, working with spreadsheets and databases.
This role has a $73,083 median salary ¹.
This role has approximately 74,765 jobs available ¹.
A Statistician collects and analyzes data to identify trends, applying statistical methods to solve problems and provide insights in various fields.
description:A Statistician collects and analyzes data to identify trends, applying statistical methods to solve problems and provide insights in various fields.
If you like: analyzing and interpreting data, applying mathematical concepts, solving complex problems.
This role has a $77,605 median salary ¹.
This role has approximately 6,859 jobs available ¹.
A Data Engineer builds data pipelines for large datasets, optimizing systems and ensuring reliable data flow using tools like Hadoop and Spark.
description:A Data Engineer builds data pipelines for large datasets, optimizing systems and ensuring reliable data flow using tools like Hadoop and Spark.
If you like: building systems to collect and organize data, writing code for data processing, automating data workflows.
This role has a $109,312 median salary ¹.
This role has approximately 43,692 jobs available ¹.
¹ Median salary and job opening data are sourced from United States Lightcast™ Job Postings Report. Data for job roles relevant to featured programs (3/1/2023 - 3/1/2024)