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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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
☁️ Build and maintain cloud-based ML pipelines (training, inference, deployment)
🔗 Design and manage multi-model orchestration workflows
📊 Monitor model performance, data drift, and system health in production
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⚡ Optimize models for performance, reliability, and cost efficiency
🤝 Partner with Data Engineers, Software Engineers, and Product teams
🛠 What We’re Looking For
✅ Strong experience as an ML Engineer or similar role
✅ Hands-on experience deploying models to production
✅ Solid understanding of cloud platforms (AWS, GCP, or Azure)
✅ Experience with ML pipelines, orchestration, and automation
✅ Knowledge of model monitoring, retraining strategies, and performance tuning
✅ Strong problem-solving mindset and ownership mentality
🌟 Nice to Have
➕ MLOps tools (MLflow, Kubeflow, Airflow, etc.)
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➕ Containerization & orchestration (Docker, Kubernetes)
➕ Experience with real-time or large-scale ML systems
🎯 Why Join Us?
🚀 Work on impactful, production-grade AI systems
🌎 100% remote across LATAM
📈 Long-term growth and career development
🤖 Build AI that actually ships and scales
📩 Interested?
Apply now or share your resume and let’s build the future of AI together!
#️⃣ Hashtags
#MachineLearningEngineer #MLEngineer #MLOps #AIJobs #RemoteJobs
#LATAMJobs #ArtificialIntelligence #CloudAI #MLCareers #TechJobs 🚀
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