Machine Learning Engineer 5

What you'll do

• Design, build, and deliver ML models and components to solve real-world business problems.
• Build and scale massive multi-tenant platforms for large-footprint ML model training and serving.
• Write and test application code to solve complex problems and automate deployment processes.
• Retrain, maintain, and monitor ML models in production environments.
• Construct optimized data pipelines to feed ML models with high-quality data.
• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale.
• Implement CI/CD best practices, including test automation and monitoring, for 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 6 years of experience programming with Python, Java, Golang, or C++.
• At least 6 years of Machine Learning experience using PyTorch, Tensorflow, Pandas, NumPy, and Scikit-learn.
• At least 6 years of experience using and operating large scale distributed systems like Spark or Ray.
• At least 4 years of experience deploying and operating 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).
• 5+ years of experience optimizing ML algorithms, configurations, and infrastructure (preferred).
• 5+ years of experience following software development best practices including source control, testing, code reviews, and CI/CD (preferred).