Senior Manager, Machine Learning Engineer
Core
Design, build, and scale massive multi-tenant platforms for large footprint ML model training and serving at scale to solve real-world business problems.
Role type
Senior Manager, Machine Learning Engineer (Production & Infrastructure)
Builds
Production-ready ML models, scalable training/serving platforms, and optimized data pipelines for a financial services customer base.
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
Master's/Doctoral degree, Algorithm optimization, Resilient software design, Advanced deployment techniques, Reinforcement learning, Data pipeline scaling, Open source contributions
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and deliver ML models for business problems; Build and scale multi-tenant ML training and serving platforms; Inform ML infrastructure decisions on model choice, data, and features; Write and test application code and automate deployment; Retrain, maintain, and monitor models in production; Construct optimized data pipelines; Ensure code management and model governance for risk and Responsible AI.
Seniority
Senior Manager, hands-on IC with leadership responsibilities
