Join Our Team as a Data Graduate in AI/ML
ArcelorMittal Europe is seeking a motivated and enthusiastic Data Graduate to join our dynamic AI/ML team. This entry-level position is ideal for recent graduates who are eager to launch their careers in data science, engineering, or analytics. As a Data Graduate, you will have the opportunity to work alongside experienced data engineers and scientists, gaining hands-on experience in the latest AI and machine learning technologies.
Key Responsibilities
- Data Collection and Analysis: Assist in the collection, preprocessing, and analysis of data to support various projects.
- Model Development: Support senior data engineers and scientists in developing and implementing data models.
- Data Pipeline Design: Participate in the design and implementation of data pipelines to ensure efficient data flow.
- Exploratory Data Analysis: Conduct exploratory data analysis to uncover insights and trends that can drive business decisions.
- Collaboration: Work closely with the AI/ML team to support machine learning projects and initiatives.
- Data Engineering: Partially participate in the data engineering phase of data acquisition and refining.
Required Qualifications
- Educational Background: Bachelor’s or master’s degree in Data Science, Computer Science, Statistics, or a related field.
- Technical Skills: Basic understanding of data analysis techniques and tools such as SQL, Python, and R.
- Machine Learning Knowledge: Familiarity with machine learning concepts including classification and regression.
- Frameworks: Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Generative AI: Acquaintance with generative AI concepts and applications.
- Graph Theory: Familiarity with knowledge graph theory and graph databases.
- Advanced Topics: Understanding of NLP, computer vision, and time series forecasting.
- Cloud Platforms: Experience with cloud platforms like Microsoft Azure.
- Data Engineering Tools: Basic knowledge of data engineering tools and practices.
- RDBMS: Knowledge of RDBMS such as Oracle, SQL Server, and others.
Desired Attributes
- Analytical Skills: Strong analytical and problem-solving skills.
- Learning Attitude: Eagerness to learn and develop new skills in data engineering and analytics.
- Adaptability: Willingness to stay updated with new technologies and discover emerging market trends.
- Communication: Good communication skills and the ability to work in a team environment.
Why Join Us?
At ArcelorMittal Europe, we are committed to transforming tomorrow. We offer a hybrid work environment that allows you to work both on-site and off-site, providing flexibility and a balanced work-life experience. You will have the opportunity to work on cutting-edge AI/ML projects and be part of a team that values sustainability, quality, and leadership.
If you are a recent graduate with a passion for data and a desire to make an impact in the field of AI/ML, we encourage you to apply and join our team in Esch-Sur-Alzette, Luxembourg.
Benefits Extracted with AI
- Hybrid work environment
- Opportunities for professional development
- Exposure to cutting-edge AI/ML technologies
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