Machine Learning Engineer
micro1CodingFirst seen 9 Oct 2026
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- Where
-
58 countries
Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia
- Language
- English
- Type
- Contract, remote
- Field
- Coding
Posted on micro1 First seen 9 Oct 2026Checked 12 Oct 2026Listed until 16 Jun 2026
From the micro1 listing
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.
Text above is the platform's own listing, shown as published. Check the details on micro1 before applying.
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Terms in this listing
- Model evaluation: Testing how well a model performs on a set of tasks, often by people scoring answers against a rubric.
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