AI Engineer Luxembourg and 2 Posted on 08/12/2024 Trending

Responsibilities Lead AI/ML Initiatives: Drive the end-to-end development and deployment of AI/ML models in production environments, from conception to implementation and monitoring. Technical Leadership: Mentor and guide junior AI engineers, ensuring high-quality code and adherence to best practices. Problem Solving: Identify and solve complex business problems using AI/ML techniques, applying critical thinking and creativity. Innovation: Stay abreast of the latest advancements in AI/ML and explore new technologies to enhance ArcelorMittal's capabilities. Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to ensure successful project delivery. Communication: Effectively communicate technical concepts and project progress to both technical and non-technical audiences. Performance Optimization: Continuously monitor and optimize AI/ML models to ensure high performance, accuracy, and scalability. Profile 3-5 years of hands-on experience developing and deploying machine learning models in industrial or production environments. M.Sc. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Demonstrated experience in deploying frameworks for responsible AI/ML and leveraging these techniques for tasks such as natural language processing, image generation, anomaly detection, and optimization problems, delivering tangible results and measurable business impact. Leadership and Strategy: Lead the development and implementation of AI strategies to address key business challenges and opportunities. Mentor and guide junior team members, fostering a culture of continuous learning and innovation. Collaborate with senior management to align AI initiatives with business objectives. Advanced AI and Machine Learning: Design, develop, and deploy sophisticated machine learning models to optimize processes and improve decision-making. Utilize deep learning frameworks (TensorFlow, PyTorch) for complex problem-solving. Implement advanced techniques such as reinforcement learning, neural networks, and ensemble methods. MLOps and Scalable Solutions: Oversee 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 (AWS, GCP, Azure). Leverage containerization (Docker) and orchestration (Kubernetes) to manage and scale AI applications. Technical Expertise: Strong proficiency in Python (pandas, scikit-learn, TensorFlow/PyTorch). Experience with cloud computing (AWS, Azure). Proficiency in data visualization tools and SQL. Experience with MLOps practices. Knowledge of Rust programming language, LangChain, LangServe, and Langraph & steel industry is a plus. Soft Skills: Excellent communication, problem-solving, leadership, and ability to collaborate with multi-cultural and multi-located teams. Ability to work independently and take initiative. Community Engagement: Active participation in Python, AI, ML, and ESG communities. Certification: 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). Team Join our newly established AI team. Report directly to the Head of AI. Position can be based in Luxembourg, Paris, or London. #J-18808-Ljbffr