Xperteez Technology

🌍 Machine Learning Engineer, Remote - Contract

Xperteez Technology United States · $166K–$291K/yr

Business Consulting and Services · 51-200 employees

7 h ago
Remote machine-learning Mid (2-5 yrs) Contractor United States
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About the role

Design, develop, and refine machine learning models while managing large datasets using MongoDB. Collaborate with cross-functional teams to evaluate model performance and integrate efficient data pipelines.

What they look for

Python Machine Learning MongoDB Scikit-learn TensorFlow PyTorch Data Analysis Hyperparameter Tuning Feature Engineering Data Preprocessing Cloud Computing Model Evaluation Data Pipelines Problem-solving Technical Documentation

Requirements

Requires demonstrated expertise in Python and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Candidates must have hands-on experience with MongoDB and strong problem-solving skills for real-world ML applications.

Full description

Role Title: Machine Learning Engineer

Role Type: Contractor

Location: Remote

Required Skills:

  • Python
  • Machine Learning
  • MongoDB

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.

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