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ML Ops Engineer: Build Pipelines, Deploy Models & APIs
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ML Ops Engineer: Build Pipelines, Deploy Models & APIs
Job summary
A leading technology services provider is seeking an experienced ML Ops Engineer to join their team in Guadalajara, Mexico. This role will focus on building machine learning pipelines, deploying models, and developing APIs and serverless solutions. Candidates should have over 5 years of experience with strong proficiency in AWS SageMaker, Python, and relevant ML lifecycle tools. Opportunities for innovative problem-solving in a collaborative environment await successful applicants.
Qualifications
- 5+ years as an ML Ops Engineer with relevant experience.
- Skills in data preparation and feature engineering.
Responsibilities
- Build ML pipelines and deploy models.
- Define and develop APIs and serverless solutions.
- Conduct market research, develop a point of view.
- Assemble large, complex data sets.
- Perform ad hoc analyses of data based on business needs.
Skills
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.