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Senior AI/ML Engineer
Il y a 2 mois
Drive the end-to-end development and deployment of AI/ML models in production environments, from conception to implementation and monitoring. Foster a culture of innovation and experimentation, leveraging the latest advancements in AI/ML to enhance ArcelorMittal's capabilities.
Technical LeadershipMentor and guide junior AI engineers, ensuring high-quality code and adherence to best practices. Collaborate with cross-functional teams to ensure successful project delivery and drive business outcomes.
Problem SolvingIdentify and solve complex business problems using AI/ML techniques, applying critical thinking and creativity. Develop and deploy sophisticated machine learning models to optimize processes and improve decision-making.
MLOps and Scalable SolutionsOversee the deployment and maintenance of AI models in production environments using MLOps best practices. Ensure scalability, reliability, and performance of AI solutions through effective use of cloud platforms and containerization.
Technical ExpertiseStrong proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch). Experience with cloud computing (AWS, Azure). Proficiency in data visualization tools and SQL. Knowledge of Rust programming language, LangChain, LangServe, and Langraph & steel industry is a plus.
Soft SkillsExcellent communication, problem-solving, leadership, and ability to collaborate with multi-cultural and multi-located teams. Ability to work independently and take initiative.
Community EngagementActive participation in Python, AI, ML, and ESG communities. Certification in Microsoft Azure (e.g., Azure AI Engineer Associate, Azure Solutions Architect). Certification in AWS (e.g., AWS Certified Machine Learning - Specialty, AWS Certified Solutions Architect).
