Machine Learning Engineer (Remote-Worldwide)

This job is with our partner MIcro1.

Tasks
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.


Requirements
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.