Remote | Machine Learning Engineer — $80–$140/hour

24-MAG; United States; Remote; USD 110,000 - 193,000; Full time

Job summary

24-MAG LLC is offering a specialised remote consulting opportunity for experienced Machine Learning Engineers. You will design and refine models, build data pipelines, and evaluate performance on large datasets using Python and ML frameworks.

This independent contractor role emphasizes rigorous experimentation and clear documentation. Remote, fully distributed across locations, with hourly compensation of 80–140 USD.

Qualifications

• Proven experience in Python for ML development.
• Hands-on with ML frameworks such as scikit-learn, TensorFlow or PyTorch.
• Experience using MongoDB for data storage and retrieval.
• Strong data preprocessing and pipeline design skills.
• Strong documentation and communication abilities.
• Experience in remote or contract work is advantageous.

Responsibilities

• Design, develop, and refine ML models using Python and relevant frameworks.
• Implement robust training and validation workflows.
• Develop preprocessing workflows and data pipelines for model training.
• Evaluate model performance with appropriate metrics and benchmarking.
• Document methodologies, experiments, and findings clearly.
• Collaborate with cross-functional teams and adapt approaches as needed.

Skills

Python

Machine Learning

Data pipelines

Model evaluation

Documentation

Remote collaboration

Tools

MongoDB

TensorFlow

PyTorch

scikit-learn

Job description

We are sharing a specialised consulting opportunity for experienced Machine Learning Engineers with strong expertise in Python, machine learning frameworks, model evaluation, data pipelines, and MongoDB to contribute to an advanced AI training and machine learning project.

Selected professionals will design and refine machine learning models, work with large datasets, develop efficient preprocessing and data pipelines, and evaluate model performance through rigorous experimentation and benchmarking. The work requires strong practical ML expertise, structured technical reasoning, and the ability to document methodologies and findings clearly.

Key Responsibilities

Machine Learning Model Development

• Design, develop, and refine machine learning models using Python and relevant frameworks
• Select appropriate modelling approaches based on project objectives and available data
• Implement robust training and validation workflows
• Apply feature engineering and data-preparation techniques where appropriate
• Improve model quality through iterative experimentation and analysis

Model Evaluation & Optimisation

• Conduct systematic model evaluation using appropriate performance metrics
• Tune hyperparameters to improve model effectiveness and stability
• Benchmark alternative models, configurations, and approaches
• Identify weaknesses, failure patterns, and opportunities for improvement
• Ensure conclusions are supported by reproducible experimental results

Data Engineering & MongoDB

• Analyse and work with large datasets used for model training and validation
• Use MongoDB for efficient data storage, retrieval, and manipulation
• Develop preprocessing workflows that support reliable model development
• Integrate data pipelines across training and inference processes
• Identify and resolve data-quality or pipeline issues affecting model performance

Experimentation, Documentation & Collaboration

• Document methodologies, experiments, assumptions, and outcomes clearly
• Maintain transparent and repeatable machine learning workflows
• Collaborate with cross-functional contributors to identify model-improvement opportunities
• Communicate technical findings and recommendations in a clear, actionable manner
• Adapt modelling approaches as project requirements evolve

Ideal Profile

• Demonstrated professional expertise in Python
• Strong experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or comparable tools
• Hands-on experience using MongoDB for data storage, retrieval, and manipulation
• Strong understanding of machine learning fundamentals and model-development workflows
• Familiarity with model evaluation metrics, hyperparameter tuning, and benchmarking
• Practical experience with feature engineering and data preprocessing
• Strong problem-solving ability and experience delivering real-world ML solutions
• Background deploying or operationalising machine learning models in cloud or enterprise environments is advantageous
• Experience developing or integrating data pipelines for machine learning workflows
• Strong written documentation and technical communication skills
• Ability to work effectively within a remote and evolving project environment

Engagement Details

• Independent contractor engagement
• Fully remote
• Compensation: $80--$140/hour
• Work will involve machine learning model development, data analysis, MongoDB, model evaluation, experimentation, and pipeline integration
• Strong practical Python and machine learning experience are central to this engagement
• Experience deploying or operationalising ML systems is highly valued
• Project scope, workload, technical requirements, and evaluation criteria may evolve depending on project needs
• Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.