Remote ML Engineer (Contract) for Real-World AI

Remotebridge; United States; Remote; USD 90,000 - 130,000; Part time

Job summary

Remotebridge is seeking a Machine Learning Engineer to contribute to a dynamic customer project. You will design, train, and refine ML models using Python and leading ML frameworks while working remotely in a cross-functional team.

You will analyze large datasets with MongoDB, perform model evaluation and hyperparameter tuning, and document experiments to ensure reproducibility. Strong communication and ability to adapt to evolving project requirements are essential.

Qualifications

• Proficient in Python with deep familiarity of ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Experience with data preprocessing and feature engineering.
• Experience deploying ML models in cloud/enterprise environments.

Responsibilities

• Design, develop, and refine ML models using Python and relevant libraries.
• Analyze large datasets and leverage MongoDB to manage data for training and validation.
• Collaborate with cross-functional teams to identify model improvement areas and implement robust solutions.
• Conduct model evaluation, tune hyperparameters, and benchmark results for performance.
• Document methodologies, experiments, and outcomes for repeatable workflows.
• Integrate data pipelines and preprocessing workflows to streamline training and inference.

Skills

Python

ML frameworks

Model training

Tools

MongoDB

Job description

Remotebridge is seeking a Machine Learning Engineer to contribute to a dynamic customer project. You will design, train, and refine ML models using Python and leading ML frameworks while working remotely in a cross-functional team.

You will analyze large datasets with MongoDB, perform model evaluation and hyperparameter tuning, and document experiments to ensure reproducibility. Strong communication and ability to adapt to evolving project requirements are essential.