
Job Overview
Location
ARGENTINA
Job Type
Full-time
Category
Engineering
Date Posted
April 21, 2026
Full Job Description
đź“‹ Description
- • Senior Machine Learning Engineer role focused on designing and delivering machine learning solutions on AWS for customers as part of a cross-functional delivery team.
- • Day-to-day responsibilities include participating in daily standups and bi-weekly agile ceremonies, developing and implementing ML models and MLOps pipelines, preparing training data through big data processing, and collaborating with architects to execute ML solutions.
- • Caylent is a cloud-native services company specializing in AWS, operating fully remote with teams across Canada, the United States, and Latin America, emphasizing technological curiosity, inclusivity, and employee-first culture.
- • In this role, you will deepen your expertise in end-to-end ML lifecycle on AWS, gain hands-on experience with MLOps tools and infrastructure-as-code, and grow professionally through individualized development plans and learning stipends while contributing to impactful customer projects.
Skills & Technologies
About Caylent, Inc.
Caylent provides cloud-native engineering services and DevOps consulting, helping enterprises design, migrate, and manage workloads on Amazon Web Services. The company delivers containerization, infrastructure automation, CI/CD pipelines, and data platform modernization through dedicated engineering teams. Serving mid-market to Fortune 500 clients, Caylent focuses on accelerating cloud adoption, cost optimization, and security compliance across regulated industries including healthcare, fintech, and SaaS.
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