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Machine Learning Engineer

Location
Remote
Pay listed by micro1
$80–140 per hour
Field
AI & machine learning
Type
Remote

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Role description

Copied from micro1's job page on 9 October 2026. The live page on micro1 is the one that counts.

Role Title: Machine Learning Engineer

Role Type: Contractor

Location: Remote micro1 is engaging Machine Learning Engineers to contribute expertise to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Scope of Work

  • Design, develop, and refine machine learning models using Python and relevant libraries to address project objectives.
  • Analyze large datasets and leverage MongoDB to manage and retrieve data efficiently for model training and validation.
  • Collaborate with cross-functional contributors to identify areas for model improvement and implement robust solutions.
  • Conduct thorough model evaluation, tuning hyperparameters, and benchmarking results to ensure optimal performance.
  • Document methodologies, experiments, and outcomes to ensure transparent and repeatable workflows.
  • Integrate data pipelines and preprocessing workflows to streamline training and inference processes.
  • Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes.

Preferred Qualifications

  • Demonstrated expertise with Python, including deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Hands-on experience with MongoDB for data manipulation, storage, and retrieval within machine learning projects.
  • Strong problem-solving skills and a track record of delivering innovative ML solutions in real-world settings.
  • Understanding of model evaluation metrics, feature engineering, and effective data preprocessing techniques.
  • Background in deploying or operationalizing machine learning models in cloud or enterprise environments.
  • Clear written documentation and communication skills for sharing technical findings and best practices.
  • Ability to adapt quickly to evolving project requirements and contribute collaboratively in a remote setting.

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