Machine Learning Engineer 1 or 2

This position will help advance the Data Management and Data Analytics strategy by increasing our capabilities to deliver rapidly, efficiently while providing excellent value for the organization.

Requirements

• Collaborate with cross-functional teams to identify and understand business challenges and translate them into machine learning tasks.
• Design, build, and optimize machine learning models and algorithms for various applications.
• Work with large datasets, cleaning and preprocessing them for model training and validation.
• Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or Scikit-learn, and cloud-based platforms like Azure.
• Implement machine learning experiments and conduct rigorous testing and evaluation to measure model performance and identify opportunities for improvement.
• Deploy machine learning models into production environments and integrate them with existing systems.
• Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions.
• Document your work thoroughly, including model architectures, methodologies, and results.
• Present findings and insights to stakeholders in a clear and understandable manner.