Luxembourg Job Openings

ArcelorMittal

Senior AI Engineer (349585)

FULL TIME

August 13, 2024

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 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.
Profile
  • 5 - 7+ 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.
Certifications
  • 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
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