Machine Learning Engineer Intern

Il y a 5 jours

Luxembourg Silicon Luxembourg Temps plein

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Skillbourg AI-powered fair hiring platform connecting candidates and companies across Europe, giving hiring its humanity back through intelligent, GDPR-native matching.

About The Role
We are seeking a Machine Learning Engineer Intern to support the development, evaluation, and deployment of data-driven solutions. This full-time, on-site opportunity provides hands-on exposure to the complete machine learning lifecycle, from data preparation and experimentation through model monitoring and documentation. You will collaborate with engineering and data stakeholders to translate business needs into reliable technical deliverables while building practical experience in a professional environment.

Key Responsibilities
Assist in collecting, cleaning, validating, and preparing datasets for machine learning use cases Develop and evaluate baseline machine learning models under the guidance of senior technical team members Support feature engineering, experiment tracking, model validation, and performance analysis Collaborate with software engineers to integrate machine learning components into existing workflows or applications Document datasets, model assumptions, experimental results, and technical implementation decisions Contribute to code reviews, debugging, testing, and continuous improvement of machine learning pipelines Research relevant machine learning methods, tools, and industry practices to inform solution development Requirements Demonstrate foundational knowledge of machine learning concepts, including supervised learning, model evaluation, and overfitting Show proficiency in Python and familiarity with common data and machine learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow Understand core data-processing concepts, including data quality, feature preparation, and dataset splitting Possess working knowledge of SQL and relational or non-relational data storage concepts Apply strong analytical, problem-solving, and attention-to-detail skills Communicate technical findings clearly in written documentation and collaborative discussions Be available to work full-time in an on-site environment Nice to Have Experience with cloud platforms or managed machine learning services Exposure to Docker, Git-based workflows, CI/CD practices, or MLOps tooling Knowledge of data visualization tools and methods for communicating model performance Experience with natural language processing, computer vision, recommendation systems, or time-series forecasting Completion of personal, academic, open-source, or portfolio projects involving end-to-end machine learning workflows Familiarity with model deployment, monitoring, responsible AI, or data privacy principles Apply Now Skillbourg

Machine Learning Engineer Intern

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