Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)
Core
Design, implement, and optimize machine learning solutions in production to create and maintain audiences for highly personalized offers to Target's guests.
Role type
Senior Machine Learning Engineer (ML Ops)
Builds
Production ML models and APIs for digital marketing personalization
Domain
Retail marketing and corporate systems
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, XGBoost, sklearn, ONNX, GCP Vertex AI, Azure ML, Sagemaker, Spark, Ray, TorchServe, FastAPI, Hadoop ecosystem, CI/CD pipelines
Preferred skills
None stated
Technologies
PyTorch, TensorFlow, XGBoost, sklearn, ONNX, GCP Vertex AI, Azure ML, Sagemaker, Spark, Ray, TorchServe, FastAPI, Hadoop, Kafka, Hive
Responsibilities
Design, implement, and optimize machine learning solutions in production; collaborate with cross-functional partners to define strategy and lead experimentation; conduct training sessions and present work to peers and leaders; create maintainable, well-tested codebases with documentation.
Seniority
Senior, hands-on IC