Machine Learning Engineer IV

What you'll do

• Design, build, and deliver machine learning models and components to solve real-world business problems.
• Inform infrastructure decisions using expertise in model selection, feature engineering, hyperparameter tuning, and validation.
• Write and test application code while automating tests and deployment processes for ML models.
• Construct and optimize data pipelines to feed and train machine learning models at scale.
• Retrain, maintain, and monitor production models to ensure consistent performance.
• Build and manage cloud-based architectures and technologies to deliver optimized models in production.
• Implement CI/CD best practices, including test automation and monitoring, for all ML applications.
• Ensure all code and models follow best practices for responsible and explainable AI.

What we're looking for

• Bachelor's Degree or higher in Computer Science, Machine Learning, or a related quantitative field.
• At least 4 years of experience programming with Python, Java, Golang, or C++.
• At least 4 years of Machine Learning experience using PyTorch, TensorFlow, and libraries like Pandas, NumPy, and Scikit-learn.
• At least 4 years of experience operating large scale distributed systems such as Spark or Ray to prepare ML data.
• At least 2 years of experience deploying ML solutions in production using cloud platforms (AWS, GCP, Azure) and Kubernetes.
• Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or a related field (preferred).
• 3+ years of experience optimizing ML algorithms, infrastructure, and following software development best practices like CI/CD (preferred).
• 3+ years of experience with various ML techniques, model architectures, and designing production-ready data pipelines (preferred).