Machine Learning Engineer 5 (IC)
Core
Design, build, and scale production ML models and multi-tenant platforms to solve complex business problems and drive AI transformations.
Role type
Senior IC Machine Learning Engineer (Production & Infrastructure)
Builds
Production ML models, massive multi-tenant training/serving platforms, and optimized data pipelines.
Domain
Financial Services / Machine Learning / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, Kubernetes, AWS, GCP, Azure, CI/CD, Model Monitoring, Responsible AI
Preferred skills
Algorithm optimization, Blue/Green deployment, Incident response planning, Advanced model architectures (RNNs, CNNs, Transformers), Reinforcement Learning, Dask, XGBoost
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure, Python, Java, Scala, Golang, C++, Dask, XGBoost
Responsibilities
Design and deliver ML models for real-world business problems; Build and scale multi-tenant platforms for large footprint model training and serving; Inform ML infrastructure decisions regarding model choice, data, and feature selection; Write and test application code to automate tests and deployment; Retrain, maintain, and monitor models in production; Construct optimized data pipelines to feed ML models; Ensure code management, model governance, and Responsible AI best practices.
Seniority
Senior, hands-on IC
