Machine Learning Engineer

September 15

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Description

• Develop, deploy, and maintain machine learning models to support data-driven decision-making. • Design and develop machine learning models tailored to university data. • Extract, clean, and transform data from diverse sources. • Assess model performance and fine-tune hyperparameters. • Collaborate with stakeholders to identify opportunities for machine learning. • Ensure robust deployment of machine learning models. • Generate insightful visualizations and reports for non-technical stakeholders. • Write comprehensive documentation for models and processes.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related field (Master’s preferred). • 3+ years’ experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). • Proficiency in programming languages such as Python, R, and familiarity with SQL. • Strong understanding of statistical analysis, data mining, and machine learning algorithms. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker). • Ability to communicate complex technical concepts to non-technical audiences. • Strong analytical and problem-solving skills. • Experience in higher education or related fields is a plus.

Benefits

• Collaborative environment • Excellent benefits