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 based on model training, feature selection, hyperparameter tuning, and validation techniques.
• Write and test application code while automating tests and deployment processes for ML models.
• Construct and optimize data pipelines to feed large-scale machine learning models.
• Retrain, maintain, and monitor models in production environments to ensure consistent performance.
• Build or leverage cloud-based architectures and technologies to deliver optimized models at scale.
• Implement CI/CD best practices and automated monitoring to ensure successful deployment of code and models.
• Ensure all models follow best practices for Responsible and Explainable AI while minimizing security vulnerabilities.

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 AI/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, configurations, and infrastructure (preferred).
• 3+ years of experience following software development best practices including source control, testing, code reviews, and CI/CD (preferred).