Senior Machine Learning Engineer

What you'll do

• Implement machine learning models for production with minimal guidance.
• Transform machine learning prototypes into production-ready models by scaling and cleaning code.
• Automate machine learning workflows including ETL, deployment, and monitoring.
• Monitor deployed model performance and troubleshoot infrastructure or workflow issues.
• Identify and mitigate data quality, security, and privacy issues during modeling.
• Develop and maintain internal tools, platforms, and services.
• Write efficient, bug-free code from scratch while maintaining existing codebases.
• Integrate machine learning models into new or existing systems with stakeholders.

What we're looking for

• Applicants must be able to read, write, and speak English.
• Candidates must have 3 to 5+ years of experience.
• Experience implementing machine learning models for production with minimal guidance is required.
• Experience automating machine learning workflows from ETL to deployment and monitoring is required.
• Experience developing efficient, bug-free code from scratch and maintaining existing codebases is required.
• Experience using third-party machine learning frameworks, packages, and libraries like PyTorch, TensorFlow, or Keras is required.
• Experience identifying data quality, security, and privacy issues is required.
• Experience monitoring model performance and troubleshooting infrastructure issues is required.