JobCubby JobCubby
Sign up
Xperteez Technology

Machine Learning Engineer | Remote - Contract

Xperteez Technology United States

Business Consulting and Services · 51-200 employees

16 h ago
Remote machine-learning Mid (2-5 yrs) Contractor United States
Create a free account to apply — email only, no card. You can also save this posting or score it against your profile with AI.

About the role

You will design, develop, and refine machine learning models while managing large datasets using MongoDB. Additionally, you will collaborate with cross-functional teams to evaluate model performance and document technical workflows.

What they look for

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

Requirements

Candidates must have demonstrated expertise in Python and machine learning frameworks such as TensorFlow or PyTorch. Hands-on experience with MongoDB and a strong background in model evaluation and data preprocessing are required.

Full description

Role Title: Machine Learning Engineer

Role Type: Contract

Location: Remote

We are 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.

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.

Similar roles