Lead Machine Learning Engineer

What you'll do

• Design, build, and deliver machine learning models and components that solve real-world business problems.
• Develop and review high-quality model and application code using Python, Scala, or Java.
• Construct and optimize data pipelines to feed machine learning models at scale.
• Retrain, maintain, and monitor machine learning models in production environments.
• Build and manage cloud-based architectures to deliver optimized ML models.
• Implement CI/CD best practices, including test automation and monitoring, for model deployment.
• Ensure all code follows best practices for Responsible and Explainable AI.
• Inform infrastructure decisions based on modeling techniques like feature selection, hyperparameter tuning, and validation.

What we're looking for

• At least 6 years of experience designing and building data-intensive solutions using distributed computing.
• At least 4 years of experience programming with Python, Scala, or Java.
• At least 2 years of experience building, scaling, and optimizing ML systems.
• Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field (preferred).
• 3+ years of experience building production-ready data pipelines that feed ML models (preferred).
• 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow (preferred).
• 2+ years of experience developing performant, resilient, and maintainable code (preferred).