Senior Software Engineer, ML Enablement

About this kind of role

What a Senior Software Engineer, ML Enablement usually does. The employer's own details are in the listing.

Typically does: A Senior Software Engineer, Machine Learning Enablement, builds and maintains infrastructure and tools to support machine learning workflows. This includes developing pipelines for data ingestion, feature engineering, model training, and deployment. They often collaborate with data scientists and machine learning engineers to streamline processes and improve efficiency. Responsibilities may also involve automating tasks and creating reusable components for the broader engineering team.

Tools and skills: Proficiency in Python, cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (e.g., Docker, Kubernetes), and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) are generally required.

Good fit for: Individuals with a strong software engineering background and a passion for enabling machine learning initiatives thrive in this role.