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: Machine Learning, Python Programming, Artificial Intelligence, Algorithms, Tensorflow, PyTorch (Machine Learning Library), Communication, Research
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
AI Agents and Agentic AI with Python & Generative AI
Course 1 of 6
AI Agents and Agentic AI Architecture in Python
Course 2 of 6
OpenAI GPTs: Creating Your Own Custom AI Assistants
Course 3 of 6
Prompt Engineering for ChatGPT
Course 4 of 6
ChatGPT Advanced Data Analysis
Course 5 of 6
Trustworthy Generative AI
Course 6 of 6
What brings you to Coursera today?
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¹ Median salary, job opening, and degree data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (8/1/2025 - 8/1/2026)