[Hiring] Machine Learning Engineer @24-MAG

Role 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
• 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.

Qualifications

• 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

Requirements

• 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

Company Description

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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