Machine Learning Engineer

Role Overview

Apply machine learning expertise to help train next-generation AI systems through high-quality, real-world input that improves how models learn, reason, and perform.

Key Responsibilities

• Design, develop, and refine machine learning models in Python using relevant libraries.
• Analyze large datasets and use MongoDB to manage and retrieve training and validation data efficiently.
• Partner with cross-functional contributors to identify model improvements and implement robust solutions.
• Evaluate models, tune hyperparameters, and benchmark results to support strong performance.
• Document methodologies, experiments, and outcomes to create transparent, repeatable workflows.
• Integrate data pipelines and preprocessing workflows for training and inference.
• Deliver actionable recommendations based on data-driven findings and machine learning outcomes.

Qualifications

• Strong Python skills and familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Hands-on MongoDB experience for data manipulation, storage, and retrieval in machine learning projects.
• Knowledge of model evaluation metrics, feature engineering, and data preprocessing techniques.
• Strong problem-solving skills and experience delivering practical machine learning solutions.
• Experience deploying or operationalizing machine learning models in cloud or enterprise environments is preferred.
• Clear written documentation and communication skills.
• Ability to adapt to changing project requirements and collaborate effectively in a remote environment.

Work Terms

• Remote contract engagement.

Compensation

• $80 to $140 per hour.

Application Process

Apply using an email address or a Google account. Submission is subject to the applicable terms and privacy policies.