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Machine Learning Engineer
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$157,304 / year median in Washington
Job Description
Machine Learning Engineer at Emonics LLC Machine Learning Engineer at Emonics LLC in Medina, Washington Posted in 2 days ago.
Type:
full-time We are looking for a motivated and curious Entry-Level Machine Learning Engineer to join our growing AI/ML team. This is an excellent opportunity for someone who wants to build practical machine learning solutions, work with real-world data, and develop their skills across the machine learning lifecycle.
Key Responsibilities:
Develop, train, evaluate, and optimize machine learning models. Prepare, clean, and analyze structured and unstructured datasets. Implement machine learning algorithms using Python and relevant ML frameworks. Collaborate with software engineers, data scientists, and other technical teams. Conduct experiments and analyze model performance to identify areas for improvement. Write clean, maintainable, and well-documented code. Stay current with emerging machine learning techniques, tools, and best practices. Contribute to the design and improvement of scalable AI/ML solutions. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or a related field. Strong programming skills in Python . Basic understanding of machine learning concepts and algorithms.