Senior Lead Machine Learning Engineer

What you'll do

• Design, build, and deliver machine learning models and components to solve real-world business problems.
• Inform infrastructure decisions regarding model selection, data features, hyperparameter tuning, and validation.
• Write and test application code to solve complex problems and automate deployment processes.
• Retrain, maintain, and monitor machine learning models in production environments.
• Build and manage cloud-based architectures and platforms to deliver optimized models at scale.
• Construct optimized data pipelines to feed machine learning models.
• Implement continuous integration and continuous deployment best practices, including test automation and monitoring.
• Ensure all code and models follow best practices for Responsible and Explainable AI.

What we're looking for

• At least 8 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 3 years of experience building, scaling, and optimizing ML systems.
• At least 2 years of experience leading teams developing ML solutions.
• Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field (preferred).
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform (preferred).
• 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow (preferred).