CONTRACTORRemoteActive
Machine Learning Engineer
micro1 is engaging Machine Learning Engineers to contribute expertise to a dynamic customer project focused on training next-generation AI systems. The role involves designing, developing, evaluating, and refining machine learning models, working with large datasets and MongoDB, building data pipelines, and creating repeatable training and inference workflows.
Salary
USD80 - USD140 / hour
Department
Machine Learning & Engineering
Experience
Professional machine learning experience
Curated by Farooq77 Jobs
Role fit snapshot
- Engagement
- Remote contractor | micro1 application platform
- Experience
- Recorded experience: Professional machine learning experience
- Core expertise
- Machine Learning & Engineering | Machine Learning | MongoDB | Scikit-learn
- Named tools
- Python
- Geographic eligibility
- Not specified beyond Remote
- Listing dates
- Posted 2026-09-02 | Valid through 2026-10-02
- Compensation
- Recorded compensation: $80-$140/hour
Responsibilities
- Design, develop, and refine machine learning models using Python and relevant machine learning libraries to address project objectives.
- Analyze large datasets and use MongoDB to efficiently manage and retrieve data for model training and validation.
- Collaborate with cross-functional contributors to identify opportunities for model improvement and implement robust solutions.
- Conduct model evaluations, tune hyperparameters, and benchmark results to optimize model performance.
- Document methodologies, experiments, and outcomes to maintain transparent and repeatable machine learning workflows.
- Integrate data pipelines and preprocessing workflows to streamline model training and inference processes.
- Deliver actionable insights and recommendations based on data-driven findings and machine learning outcomes.
Skills
PythonMachine LearningMongoDBScikit-learnTensorFlowPyTorchModel DevelopmentModel EvaluationHyperparameter TuningModel BenchmarkingFeature EngineeringData PreprocessingData AnalysisData PipelinesMachine Learning FrameworksModel TrainingModel ValidationMachine Learning DeploymentTechnical Documentation
Requirements
- Demonstrated expertise with Python and machine learning development.
- Deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Hands-on experience with MongoDB for data manipulation, storage, and retrieval in machine learning projects.
- Strong problem-solving skills and experience delivering machine learning solutions in real-world settings.
- Understanding of model evaluation metrics, feature engineering, and data preprocessing techniques.
- Ability to conduct model tuning, validation, and performance benchmarking.
- Experience integrating data pipelines and preprocessing workflows for machine learning systems.
- Background in deploying or operationalizing machine learning models in cloud or enterprise environments is preferred.
- Strong written documentation and technical communication skills.
- Ability to adapt to evolving project requirements and collaborate effectively in a remote environment.
Benefits
- Fully remote contractor opportunity.
- $80–$140 hourly compensation.
- Opportunity to contribute machine learning expertise to next-generation AI systems.
- Hands-on work involving Python, machine learning frameworks, MongoDB, and data pipelines.
- Opportunity to work on model development, evaluation, optimization, and production-oriented machine learning workflows.
- Remote collaboration with cross-functional contributors.
Before you apply
- Confirm that your location is eligible for the role.
- Confirm the employment or contract type.
- Verify the current compensation at the official source.
- Review the required skills and experience.
- Check that the listing is still open before applying.
- Never pay a fee to submit a job application.