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Senior Engineer I - Machine Learning
CDW🇺🇸In-Person - United States$100K–$150K/yr5mo ago
Role Snapshot
Senior Engineer I - Machine Learning at CDW collaborates with the AI Solutions team to design, develop, and deploy MLOps workflows and machine learning models on AWS to solve complex business problems for enterprise clients.
Key Responsibilities: Deploy and monitor machine learning models on AWS using SageMaker, implement end-to-end ML pipelines including data cleaning and training, develop infrastructure-as-code scripts, and collaborate with data scientists and engineers to deliver scalable data solutions.
Skills & Tools: Proficiency in Python or R, experience with AWS data technologies (SageMaker, S3, Athena, Lambda), MLOps pipeline development, machine learning libraries (TensorFlow, PyTorch, scikit-learn), database architectures, and strong software engineering principles including CI/CD and version control.
Qualifications: Relevant experience in software engineering and distributed application design with working knowledge of data/MLOps pipeline development, database architectures, and Agile methodologies; AWS certification required within 6 months of hire.
Location: United States
Compensation: $100K–$150K/yr