Machine Learning Engineer, Intelligent Foundations
Core
Design, build, and deliver ML models and components to address real business challenges using large-scale distributed systems and cloud platforms.
Role type
Senior IC machine learning engineer (infrastructure & production)
Builds
Production-ready ML models, data pipelines, and cloud-based architectures
Domain
Financial services / Machine Learning / Big Data
Deliverable
production ML models
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, Kubernetes, AWS, GCP, Azure
Preferred skills
Model optimization, software development best practices, resilient software solutions, ML methods and architectures, data pipeline design, technical leadership, academic publication
Technologies
AI, AWS, Azure, Big Data, CI/CD, Cloud, GCP, Golang, Kubernetes, Machine Learning, PyTorch, Python, Scala, Spark, TensorFlow, numpy, pandas, Model Training
Responsibilities
Design and validate ML models and components; write and test application code; automate testing and deployment; retrain and monitor models in production; build efficient data pipelines; apply CI/CD practices; ensure code management and model governance.
Seniority
Senior, hands-on IC