About this opportunity
24-Mag Llc lists this Remote | Machine Learning Engineer — $80–$140/hour opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
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.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.