5MO AGO

Machine Learning Engineer

micro1 / Machine Learning Engineer

RATE

$80 - $140/HR

LOCATION

REMOTE (GLOBAL)

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DESCRIPTION

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

REQUIREMENTS

▸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.