Fullstack
Colombia
AI Computer Vision Engineer
- AI
- Computer Vision
- Continuous Integration
- Deep Learning
Y
Machine Learning Engineer (Production-Focused)
Colombia
Full Remote
AI Summary
We're looking for a Machine Learning Engineer to take ML models beyond notebooks and into real-world, production-ready AI products. This role is all about productionizing models, building scalable cloud-based ML pipelines, and ensuring models perform reliably over time. You'll collaborate with cross-functional teams to design, deploy, monitor, and continuously optimize ML systems used in real business scenarios.
Key Highlights
Productionize ML models as scalable AI products
Build and maintain cloud-based ML pipelines
Monitor model performance and system health in production
Key Responsibilities
Productionize ML models as scalable AI products
Build and maintain cloud-based ML pipelines
Design and manage multi-model orchestration workflows
Monitor model performance, data drift, and system health in production
Optimize models for performance, reliability, and cost efficiency
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Technical Skills Required
Benefits & Perks
100% remote across LATAM
Long-term growth and career development
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Nice to Have
MLOps tools (MLflow, Kubeflow, Airflow, etc.)
Containerization & orchestration (Docker, Kubernetes)
Experience with real-time or large-scale ML systems
Job Description
🚀 We’re Hiring: Machine Learning Engineer (ML Engineer)🤖
🌎 Location: Remote – LATAM
🕒 Engagement: Long-term
💼 Work Environment: Production-focused, cloud-first AI engineering
🔍 Role Overview
We’re looking for a Machine Learning Engineer to take ML models beyond notebooks and into real-world, production-ready AI products. This role is all about productionizing models, building scalable cloud-based ML pipelines, and ensuring models perform reliably over time.
You’ll collaborate with cross-functional teams to design, deploy, monitor, and continuously optimize ML systems used in real business scenarios.
🧠 What You’ll Do
✨ Productionize ML models as scalable AI products
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