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Hire a Machine Learning Engineer
Production ML models that drive real business outcomes. From training and deployment to monitoring at scale—AI systems that deliver ROI from day one.
What does a Machine Learning Engineer do?
Machine learning isn't a buzzword—it's a competitive advantage when built right. Marco's Machine Learning Engineers design, train, and deploy production-grade ML models that power everything from recommendation engines and fraud detection to demand forecasting and personalization. They bridge the gap between data science experimentation and scalable, production-ready AI infrastructure.
What does a machine learning engineer do? They build end-to-end ML pipelines—from data ingestion and feature engineering to model training, deployment, and monitoring in production. They work with frameworks like TensorFlow, PyTorch, and scikit-learn, deploying on cloud platforms including AWS SageMaker, GCP Vertex AI, and Azure ML. A remote machine learning engineer costs $2,500–$3,200/month through Marco versus $12,000–$16,000/month for U.S.-based ML engineering talent.
Key Responsibilities
Skills & Qualifications
Frequently Asked Questions
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