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Position: Machine Learning Engineer
Institution: Mastercard
Location: United States
Duties: We are seeking a talented and experienced Machine Learning Engineer to join our innovative team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive data-driven decision-making and enhance our products and services. The challenge will be to dynamically deliver value in the near term while developing capabilities and process that lay the groundwork for the future. You will enable a frictionless customer and developer experience, exposing data components for direct to customer use or as components for new product constructs
Requirements: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Proven experience as a machine learning engineer, working on complex machine learning projects; Strong programming skills in languages like Python, R, or similar; Solid understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques; Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
   
Text: Machine Learning Engineer We are seeking a talented and experienced Machine Learning Engineer to join our innovative team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive data-driven decision-making and enhance our products and services. The challenge will be to dynamically deliver value in the near term while developing capabilities and process that lay the groundwork for the future. You will enable a frictionless customer and developer experience, exposing data components for direct to customer use or as components for new product constructs Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Proven experience as a machine learning engineer, working on complex machine learning projects; Strong programming skills in languages like Python, R, or similar; Solid understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques; Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
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