Scope of the mission:

Key Responsibilities:

• Collaborate with the Data Science and Engineering team to design, develop, and implement Machine Learning models for NLP and Generative AI projects.
• Conduct research on the latest advancements in NLP and Generative AI to enhance project outcomes.
• Develop and fine-tune models for tasks such as text generation, sentiment analysis, and language understanding.
• Assist in the deployment and monitoring of models in a production environment.
• Participate in team meetings and contribute to project planning and strategy discussions.

Qualifications:

• Currently pursuing a degree in Data Science, Computer Science, Engineering, or a related field.
• Strong understanding of Machine Learning algorithms and NLP techniques.
• Proficiency in programming languages such as Python or R.
• Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib).
• Familiarity with NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers).
• Knowledge of Retrieval-Augmented Generation (RAG) techniques.
• Knowledge of Generative AI models (e.g., GPT, BERT).
• Experience with vector databases and knowledge bases.
• Familiarity with cloud technologies is appreciated (Azure or AWS).
• Excellent problem-solving skills and attention to detail.
• Ability to learn quickly and adapt to a fast-paced environment.
• Strong communication and teamwork abilities.

Benefits:

• Hands-on experience with real-world Computer Vision and AI projects.
• Mentorship from experienced professionals in the field.
• Opportunity to work with cutting-edge technologies and tools.
• A collaborative and inclusive work environment

We are committed to building an inclusive organisation where everyone feels supported and valued. We need people with all sorts of backgrounds, experiences, perspectives and personalities to help us decarbonise steel manufacturing. Every person who applies to join ArcelorMittal receives equal employment opportunities, regardless of ethnicity, gender, sexual orientation, age, disability, socioeconomic background, and any other protected status. 

We thank all those who apply. 
We will only contact applicants selected