Senior ML Platform Engineer — Real-Time ML Pipelines (San Carlos de Bariloche)
A financial software company in Argentina is seeking a Senior Machine Learning Engineer to own and scale the ML...
A financial software company in Argentina is seeking a Senior Machine Learning Engineer to own and scale the ML...
and evidence - Evaluate existing project management processes and explore AI/ML for automation opportunities...
accuracy. - Advanced Spatial Analytics: Apply expertise in AI/ML and Generative AI to spatial datasets to solve problems... Proficiency: Expertise in spatial data engineering and data science, with the ability to integrate AI/ML models for spatial...
CoLab Software in Argentina is seeking a Director of AI/ML to lead and scale their AI product development teams.... This role requires a strong background in AI/ML and proven leadership in a B2B SaaS environment. The qualified candidate...
and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML...
A leading education technology company in Argentina is seeking an experienced ML Ops Engineer to join their ML/AI team.... This hands-on role requires managing CI/CD pipelines, automating infrastructure with Terraform, and collaborating with ML...
client leadership role that blends deep hands‑on ML expertise with strategic advisory and consulting skills. You will be the... most experienced ML voice across a diverse and expanding book of customer engagements — from early‑stage companies bringing ambitious...
Framework Ventures is seeking a motivated machine learning engineer to enhance AI models focused on neural mechanisms. The role involves developing scalable deep learning algorithms and collaborating with data scientists in a dynamic envir...
platforms, or datadriven technology environments. Practical understanding of AI/ML deployment patterns, APIs, model lifecycle.... Familiarity with AI/ML risks including prompt injection, model abuse, data leakage, and adversarial techniques. Knowledge...
platforms, or datadriven technology environments. Practical understanding of AI/ML deployment patterns, APIs, model lifecycle.... Familiarity with AI/ML risks including prompt injection, model abuse, data leakage, and adversarial techniques. Knowledge...