Global Enterprise Partners

Machine Learning Engineer - Paris hybrid - Freelan...

Job description

Machine Learning Engineer - Paris hybrid - Freelance

Machine Learning Engineer - Responsibilities

  • Develop and implement AI models for demand planning in the supply chain.
  • Collaborate with data scientists and product managers to translate business requirements into scalable machine learning solutions.
  • Work with data engineers to optimize data pipelines and ensure timely availability of clean and relevant data for model training and inference.
  • Implement model retraining and versioning strategies to adapt to market dynamics and business requirements.
  • Industrialize and deploy machine learning models in production environments.
  • Monitor model performance and implement improvements to ensure robustness and reliability.
  • Collaborate with cross-functional teams to integrate machine learning capabilities into existing systems and processes.
  • Document best practices, standard operating procedures, and technical specifications for machine learning models and deployment processes.
  • Mentor and advise junior team members, fostering a culture of continuous learning and knowledge sharing.
  • Stay informed about emerging trends and best practices in machine learning and supply chain optimization.

Machine Learning Engineer - Qualifications

  • Mastery of machine learning techniques, especially time series forecasting.
  • Strong programming skills in Python.
  • Experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with data engineering concepts and tools for data preprocessing, feature engineering, and model evaluation.
  • Experience in industrializing and deploying machine learning models in production (MLOps, containerization, orchestration, CI/CD, infrastructure as code, monitoring, and logging).
  • Knowledge of supply chain processes and dynamics is a plus.


If this role is of your interest, please apply directly via the link and/or get in touch with your updated CV at u.lopez(a) ; +31 621939863 (WhatsApp)

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