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Amicus

Machine Learning Engineer

Amicus, Granite Heights, Wisconsin, United States

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Overview

This range is provided by Amicus. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$90.00/hr - $120.00/hr Role

Vice President Contract - Data US @ Amicus Responsibilities

Develop, train, and evaluate machine learning models for various applications (e.g., classification, regression, recommendation, NLP). Implement and experiment with different optimization algorithms (e.g., SGD, Adam, RMSprop) to improve model convergence and performance. Collaborate with data scientists to translate prototypes into production-ready models. Conduct hyperparameter tuning and model selection using automated and manual techniques. Monitor model performance in production and iterate based on feedback and metrics. Build reusable pipelines for data preprocessing, model training, and deployment. Stay up-to-date with the latest research in machine learning and optimization techniques. Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field. Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn. Solid understanding of machine learning algorithms and optimization methods. Experience with model deployment and serving frameworks (e.g., MLflow, FastAPI, Docker). Familiarity with cloud platforms (AWS, GCP, Azure) and distributed computing. Excellent problem-solving skills and attention to detail. Preferred Qualifications

Experience with deep learning architectures (CNNs, RNNs, Transformers). Knowledge of advanced optimization techniques (e.g., learning rate schedules, gradient clipping, second-order methods). Contributions to open-source ML projects or published research. Experience with MLOps tools and practices. Seniority level

Mid-Senior level Employment type

Contract Job function

Information Technology Industries

Oil and Gas and Energy Technology

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