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Atlas Pacific, a leading technology company in San Antonio, TX, is seeking a full-time Machine Learning Engineer to develop and deploy ML models that solve complex problems and boost operations and products. You will collaborate with data scientists, optimize models for performance, and work with cutting-edge tools like TensorFlow or PyTorch.
A bachelor's degree and several years of experience are expected.
Atlas Pacific, a leading technology company in San Antonio, TX, is seeking a full-time Machine Learning Engineer. In this role, you will develop and implement machine learning models to solve complex problems, significantly impacting operations and products.
As a Machine Learning Engineer, you will develop, train, and deploy machine learning models, collaborating with data scientists to translate business problems into solutions. You will also optimize existing models to improve performance and accuracy.
You will join a collaborative team in San Antonio, TX, in a dynamic environment equipped with the latest technology. Our culture fosters continuous learning and growth, offering opportunities to work on cutting-edge projects.
The annual salary for this position ranges from $160,000 to $236,222, reflecting the high level of expertise and responsibility required. Atlas Pacific offers a comprehensive benefits package, which includes health insurance to cover medical expenses, retirement plans to help employees save for their future, and professional development opportunities to enhance skills and advance in their careers. Employees in this role can expect to work in a dynamic and collaborative environment, utilizing advanced tools and technologies to complete their tasks efficiently. The position requires a strong educational background, typically a bachelor's degree in a relevant field, and several years of experience in the industry. Atlas Pacific values innovation and encourages employees to contribute to the company's growth and success.
To excel in this role, you should have a strong background in machine learning and a relevant degree. Proficiency in Python and experience with TensorFlow or PyTorch are essential, along with strong problem-solving skills and teamwork abilities.