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.
Interested?
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)globalenterprisepartners.com ; +31 621939863 (WhatsApp)