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Machine Learning Engineer
Summary by AIEngineer.careers
Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Aetna. in WESTMINSTER, US. Compensation shown: $93K–$127K. Imported listing (source: api.hine-crull-cared-exiler.com). Apply on the employer's site (api.hine-crull-cared-exiler.com).
Imported listing (source: api.hine-crull-cared-exiler.com) · Apply on api.hine-crull-cared-exiler.com
WESTMINSTER · US
$93K–$127K
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 api.hine-crull-cared-exiler.com
Aetna is seeking a mid-level Machine Learning Engineer in Westminster, CO to design and maintain ML pipelines and RESTful APIs. The role focuses on optimizing system performance, handling hypothesis testing, and collaborating with product teams to translate business requirements into technical specifications. Candidates should have experience with data visualization, MLOps, and cloud data tools.
Responsibilities
- Develop and maintain RESTful APIs powering core products
- Optimize memory usage and resolve system leaks for high-load scenarios
- Translate business requirements into technical specifications and testable acceptance criteria
- Maintain build pipelines and ensure green deployments during traffic surges
- Collaborate cross-functionally with product and leadership teams
Requirements
- 3-5 years of experience in software or machine learning engineering
- Experience with BigQuery, Data Mining, or similar data platforms
- Ability to present technical concepts to mid-level leadership
- Strong problem-solving skills and resilience in fast-paced environments
- Experience with MLOps practices and data visualization tools
Aetna
Hartford · US · 41132+ employees
Aetna, a CVS Health company, is a health-care benefits and insurance organization founded in 1853. It provides health plans, trusted-care networks, tools, and added support for individuals, families, employers, providers, and brokers.
