๐ŸŒ Machine Learning Engineer, Remote - Contract

Xperteez Technology

  • Remote ยท Seluruh dunia
  • Kontrak
  • Data & AI
  • USD 80 โ€“ 140 / hour
  • Python
  • MongoDB

Deskripsi lowongan ini ditampilkan dalam bahasa Inggris, sesuai postingan aslinya.

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.

Originally posted on Himalayas