Remote ML Engineer - Model Training & Data Pipelines (Contract)

YO HR Consultancy; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

YO HR Consultancy is seeking a Machine Learning Engineer for a remote contractor engagement. You will design, develop, and refine ML models using Python and popular libraries, contributing to a customer project.

You will analyze large datasets with MongoDB, tune models, evaluate performance, and document experiments to enable repeatable workflows. Experience deploying ML solutions in cloud environments and strong communication are valued.

Qualifications

• Proven experience with Python and ML frameworks (scikit-learn, TensorFlow, or PyTorch).
• Hands-on experience using MongoDB for ML data management.
• Strong problem-solving and ability to deliver ML solutions in real-world settings.
• Understanding of model evaluation metrics and feature engineering.
• Experience deploying ML models in cloud or enterprise environments.
• Clear written communication skills and ability to document findings.

Responsibilities

• Design, develop, and refine ML models using Python and relevant libraries.
• Analyze large datasets and use MongoDB for data management during training.
• Collaborate with cross-functional teams to improve models.
• Evaluate and tune models, benchmark results for optimal performance.
• Document methodologies and outcomes to ensure repeatable workflows.
• Integrate data pipelines for training and inference.
• Deliver data-driven insights and recommendations.

Skills

Python

scikit-learn

TensorFlow

PyTorch

MongoDB

Model deployment

Data preprocessing

Cloud deployment

Job description

YO HR Consultancy is seeking a Machine Learning Engineer for a remote contractor engagement. You will design, develop, and refine ML models using Python and popular libraries, contributing to a customer project.

You will analyze large datasets with MongoDB, tune models, evaluate performance, and document experiments to enable repeatable workflows. Experience deploying ML solutions in cloud environments and strong communication are valued.