ML Engineer Ii

About the role

The pace of innovation in artificial intelligence and machine learning continues to accelerate, and the Data and Devices Business Unit is at the center of this transformation. This role is a strong fit for someone with a solid software and analytical foundation who is eager to apply machine learning techniques to real engineering problems.

What you'll do

• Data Collection and Preprocessing
• Collect and process structured and unstructured datasets from engineering systems, databases, and operational tools
• Clean and validate datasets to ensure accuracy and consistency
• Develop scripts and pipelines for data preprocessing and transformation
• Perform exploratory analysis to identify patterns, correlations, and insights within datasets

What you need

• 4–7 yrs of experience
• Machine learning
• Python
• Scikit-learn
• Pandas
• ETL
• R
• PhD

Good to have

• PyTorch
• TensorFlow
• NumPy