Lead Machine Learning Engineer

What you'll do

• Design, build, and deliver machine learning models and components to solve real-world business problems.
• Develop and review model and application code while ensuring high availability and performance of ML systems.
• Construct optimized 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 and technologies to deliver optimized ML solutions.
• Implement CI/CD best practices, including test automation and monitoring, for model deployment.
• Ensure all code follows best practices for Responsible and Explainable AI and risk management.
• Develop high-quality software using programming languages such as Python, Scala, or Java.

What we're looking for

• Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field (preferred).
• 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.
• 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).
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform (preferred).