Senior ML Engineer

thaia®︎

Own and operate recommendation systems for a high-scale B2B marketing platform. Contributing to ML systems, enhancing consumer data processing with direct revenue impact.

Posted 5/30/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Own the client's recommendation system end-to-end: design, training, deployment, and monitoring
Build and mature ranking and retrieval models that process behavioral signals — clicks, opens, purchases — at consumer scale
Operate ML systems at hundreds of millions of events per day, with direct impact on client revenue
Make independent technical decisions and engage directly with client engineering leadership — no intermediaries

Requirements

What you’ll need

6 to 9 years of experience in software or data engineering roles
4+ years building and operating ML systems in production
2 to 3+ years with recommendation systems as a core area of work — not adjacent exposure
Hands-on experience with ranking and retrieval architectures; able to discuss tradeoffs from real production work
Direct experience operating systems at consumer scale (hundreds of millions of events per day or more)
Strong Python skills and fluency with a modern ML stack: PyTorch or TensorFlow, scikit-learn, feature engineering libraries
SQL fluency for data exploration and validation
Production deployment experience on AWS, GCP, or Azure
Fluent spoken and written English — this role involves direct technical conversation with US client engineering leaders
Demonstrated autonomy in client or stakeholder-facing settings: owning scope, raising blockers, making independent decisions.

Benefits

Comp & perks

100% remote from Argentina, Brazil, Mexico, or Colombia
Paid certifications: AWS, GCP, Azure, Databricks, dbt
English classes included
Extra week of vacation + birthday off
Annual team trip
Referral bonus
Monthly credits on Maslow benefits marketplace
Direct engagement with a US-based enterprise client. Remote from LATAM.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningrecommendation systemsranking modelsretrieval modelsPythonPyTorchTensorFlowscikit-learnSQLfeature engineering

Soft Skills

autonomytechnical decision-makingstakeholder engagementcommunicationproblem-solving