Luxembourg Job Openings
ArcelorMittal
AI Engineer
FULL TIME
August 12, 2024
- 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 Arcelor Mittal'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.
- 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 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 (Tensor Flow, Py Torch) 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, Tensor Flow/Py Torch)
- Experience with cloud computing (AWS, Azure)
- Proficiency in data visualization tools and SQL
- Experience with MLOps practices,
- Knowledge of Rust programming language, Lang Chain, Lang Serve, and Langraph & steel industry is a plus
-
Soft Skills:
- Excellent communication, problem-solving, leadership, and able 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)
- Join our newly established AI team.
- Report directly to the Head of AI.
- Position can be based in Luxembourg, Paris, or London
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