Data Graduate AI/ML

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.