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Machine Learning Engineer, Digital Experience
Summary by AIEngineer.careers
Machine Learning Engineer, Digital Experience is a Machine Learning Engineer role (full-time). with Everpure. in SANTA CLARA, US. Compensation shown: $180K–$270K. Imported listing (source: emploive.com). Apply on the employer's site (emploive.com).
Imported listing (source: emploive.com) · Apply on emploive.com
SANTA CLARA · US
$180K–$270K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from emploive.com
Everpure is seeking a Machine Learning Engineer to join the Digital Experience Insights team in Santa Clara. The role focuses on productionizing ML models, building scalable data pipelines, and ensuring model reliability in a cloud-native environment. You will collaborate with data scientists and engineers to ship high-impact analytics solutions.
Responsibilities
- Take machine learning models from prototype to production, building reliable and scalable training/serving pipelines.
- Design and maintain data pipelines, feature stores, and workflow orchestration systems.
- Implement monitoring for model performance, data drift, and pipeline health.
- Build and validate ML models and statistical approaches as needed.
- Collaborate cross-functionally to translate business questions into technical plans.
Requirements
- 3-5 years of industry experience in data engineering, ML engineering, or hybrid roles.
- Strong software engineering fundamentals in Python and SQL.
- Experience with workflow orchestration tools (Airflow, Dagster).
- Experience working in cloud-native environments (AWS, GCP, Azure).
- Familiarity with ML libraries like Scikit-Learn or PyTorch.
Everpure
Golden Valley · US · 3500+ employees
Everpure is a brand under Pentair that specializes in commercial and residential water filtration solutions. They provide filtration products for foodservice operations, coffee, ice, and beverage industries to improve water quality and protect equipment.
