Note: The job is a remote job and is open to candidates in USA. Crossing Hurdles is seeking a Machine Learning Engineer for a remote contract role. The engineer will design, develop, evaluate, and deploy machine learning models, analyze data using Python and MongoDB, integrate data pipelines, collaborate with cross-functional contributors, and document technical methodologies and outcomes.
Responsibilities
- 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
Skills
- 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
Benefits
- Remote work
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