ArcelorMittal US
AI Engineer Luxembourg and 2 Posted on 08/12/2024 Trending
- +3
- +16
- Paris, Île-de-France, France
- +3
- +16
- Paris, Île-de-France, France
À propos
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.
Compétences idéales
- Machine Learning
- TensorFlow
- PyTorch
- Neural Networks
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- Python
- Pandas
- Scikit-learn
- Deep Learning
- Rust
- SQL
- Data Visualization
Expérience professionnelle
- Machine Learning
- NLP
- QA Test Automation
Compétences linguistiques
- English