> Markdown version of [/jobs/ext/3949751-remote-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3949751-remote-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Machine Learning Engineer - **Company:** AI Powered LLC - **Location:** United States (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Pytorch, Large Language Models, Git, Scikit Learn, Information Technology, Free and Open-Source Software, Machine Learning Operations, Software Library - **Published:** October 27, 2026 - **Apply:** https://www.builtincolorado.com/job/remote-machine-learning-engineer/10694104?handler=ApplyRedirect ## About the Role * Basic understanding of machine learning concepts and algorithms. * Experience with Python. * Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. * Comfortable working with data and writing clean, maintainable code. * Familiarity with Git. * Good problem-solving skills. * Strong written and verbal English communication. Nice to have * Experience with large language models (LLMs). * Experience with cloud platforms such as AWS, GCP, or Azure. * Familiarity with SQL. * Experience deploying ML models. * Personal projects or open-source contributions related to AI or machine learning., * 1+ year of experience in machine learning, software engineering, data science, or a related technical role or strong personal projects demonstrating ML skills. * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field is a plus, but not required. * Passion for learning and building AI solutions. ## Description Hiring Remotely in USA Junior Design, train, evaluate, deploy, and monitor machine learning models. Prepare and analyze large datasets, improve model performance through experiments, and collaborate with software engineers to integrate ML solutions into production while staying current with ML techniques. The summary above was generated by AI We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software engineers to bring models into production. This is a great opportunity for someone who enjoys solving practical problems with machine learning and wants to work on real-world AI applications. What you'll do * Develop, train, and evaluate machine learning models. * Prepare and analyze datasets for model training. * Improve model performance through experimentation and testing. * Deploy and maintain ML models in production environments. * Collaborate with software engineers to integrate ML solutions into products. * Monitor model performance and continuously improve accuracy. * Stay up to date with new machine learning techniques and technologies.