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Vuegen Technologies Inc

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.

$125,699 / year median in Illinois

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Job Description

at Vuegen Technologies Inc in Hoffman Estates, Illinois, United States Job Description
JOB ID 12674
Machine Learning Engineer Vuegen Technologies Inc, a Hoffman Estates, IL based IT Management and Consulting Firm has multiple openings for
JOB ID 12674
Machine Learning Engineer.
Job duties include:
Assist in developing and implementing machine learning models for image-based solutions under established guidelines. Assist in researching and benchmarking state-of-the-art machine learning techniques by developing proof-of-concept implementations, evaluating performance, and producing clear technical documentation of results. Involve in deploying machine learning models on cloud platforms like GCP to support scalability, performance, and reliability requirements under the guidance of the team lead. Perform data collection, validation, and basic analysis to support model performance monitoring and improvement efforts. Collaborate with cross-functional teams to gather requirements and support the implementation of technical solutions. Stay informed on emerging AI/ML technologies and apply relevant concepts to assigned project tasks.
Requirements:
Master's degree in CS, IT, Engg or related. Salary ranges between $130,707.00 to $132000.00/year.
Send resume to:
hr@vuegen.com including the JOB ID. Travel and relocation to various unanticipated client locations throughout the United States may be required. Equal Opportunity Employer. To view full details and how to apply, please login or create a Job Seeker account