Computer Vision & AI Engineer

ArcelorMittal Downstream Solutions is looking for a Computer Vision & AI Engineer, to join its Artificial Intelligence team, located in Luxembourg.

The Computer Vision & AI Engineer plays a pivotal role in ArcelorMittal's AI transformation journey. This position demands expertise in cloud technologies, machine learning, data engineering, and a specialized proficiency in computer vision AI. The ideal candidate will architect, develop, and maintain scalable, reliable, and secure cloud-based AI solutions, particularly focusing on computer vision applications that extract insights from visual data. The role involves developing and implementing proof-of-concept (POC) AI projects, particularly in the realm of computer vision, to demonstrate business value and drive stakeholder engagement.

This position requires a passion for leveraging cutting-edge AI technologies and the ability to solve complex challenges using cloud infrastructure and vision-based AI solutions.

Key Responsibilities

Computer Vision AI Development:

• Develop, train, and deploy computer vision models for object detection, image classification, segmentation, and anomaly detection.
• Design and implement image and video processing pipelines to handle large-scale visual datasets.
• Integrate computer vision models into existing cloud infrastructure and AI systems.
• Perform model tuning, evaluation, and validation to ensure accuracy and performance in real-world applications.

AI Proof-of-Concept (POC) Implementation:

• Define clear objectives: Establish clear and measurable objectives for the POC to align with business goals.
• Conduct feasibility studies: Perform initial feasibility studies to assess the viability of the POC.
• Prototype rapidly: Develop rapid prototypes to quickly test and iterate on ideas.
• Gather stakeholder feedback: Actively seek and incorporate feedback from stakeholders throughout the POC development process.
• Document findings: Thoroughly document the POC process, findings, and recommendations for future development.
• Plan for scale: Provide a roadmap for scaling the POC to a full-fledged solution if successful.
• Measure ROI: Develop metrics to measure the return on investment (ROI) and business impact of the POC

Cloud Architecture & Scalable Solutions:

• Develop data models for AI/ML workloads.
• Define data governance standards, ensuring data quality and security.
• Identifying cost-saving opportunities and implementing strategies to optimize cloud spending
• Designing and implementing security measures to protect cloud environments from threats
• Implement and maintain robust CI/CD pipelines for ML models, ensuring efficient and reliable deployment

AI/Data Literacy Training : 

• Develop tailored training programs for different roles (e.g., data scientists, engineers, business analysts) to enhance their understanding of AI concepts and data-driven decision-making.
• Organize interactive workshops and hackathons to foster collaboration and hands-on experience with AI tools and techniques.
• Encourage knowledge sharing through seminars, webinars, and online communities.
• Provide basic data literacy training for non-technical staff to improve their ability to interpret data and make informed decisions.

Policy Development and Implementation:

• Develop and implement ethical guidelines for AI & computer vision development and deployment, ensuring fairness, transparency, and accountability.
• Establish robust data privacy and security policies to protect sensitive information and comply with regulations like GDPR and CCPA.
• Implement strategies to identify and mitigate bias in AI algorithms and datasets.
• Create a framework for model governance, including version control, documentation, and regular audits.

Collaboration:

• Work closely with Business Relationship Managers to systematically identify, evaluate, and prioritize business opportunities
• Work closely with cross-functional teams, including data engineers, business analysts, software developers, and business stakeholders, to ensure successful end-to-end AI project delivery.
• Collaborate effectively with ArcelorMittal's cloud and data teams to ensure alignment with the overall IT strategy.
• Work closed with ArcelorMittal R&D to ensure alignment and influence standards to accelerate AMDS business goals 
• Sharing knowledge and best practices within the organization to promote cloud adoption and skill development
• Collaborate with external partners to deliver AI/Automation solutions in accelerated manner

Optimization and Performance Improvement:

• Ensure transparent deliver pipeline of projects based on business value
• Deploy Autonomous Agents for process improvement and business value
• Provide SQL guidance to the other AI Team on best practices and optimization.
• Develop a long-term AI strategy roadmap, outlining the organization's vision, goals, and key milestones

Continuous Improvement:

• Technology Evaluation: Staying up-to-date with the latest cloud technologies and trends.
• Innovation: Exploring innovative cloud solutions to drive business growth and efficiency.
• Feedback Loop: Gathering feedback from users and stakeholders to continuously improve cloud services.
• Certification: Obtain industry recognized certifications 
• Leadership Opportunities: Lead by example and move into potential leadership roles 

ArcelorMittal Downstream Solutions is committed to building an inclusive workplace that promotes and values diversity and is welcoming of people of all backgrounds. We are convinced that a workforce that feels respected and empowered to bring their full, authentic selves to work will lead the way on innovation and bring agility, perspectives and experiences to contribute to our success.

For us, diversity means a workforce reflective of different cultures, generations, genders, ethnic groups, sexual orientation, nationalities, abilities, social backgrounds and all the other unique differences that make each of us individuals. Inclusion is about creating a work environment where everyone has the opportunity to fully participate in creating business success and where all employees are valued and respected for their distinctive skills, experiences and perspectives.

Our commitment to diversity and inclusion will guide our hiring, our workplace culture and customer service.

ArcelorMittal is the world's leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in 16 countries. In 2022, ArcelorMittal had revenues of $79.8 billion and crude steel production of 59.0 million metric tonnes, while iron ore production reached 45.3 million metric tonnes. Our purpose is to produce ever smarter steels that have a positive benefit for people and planet. Steels made using innovative processes which use less energy, emit significantly less carbon and reduce costs. Steels that are cleaner, stronger and reusable. Steels for electric vehicles and renewable energy infrastructure that will support societies as they transform through this century. With steel at our core, our inventive people and an entrepreneurial culture at heart, we will support the world in making that change. This is what we believe it takes to be the steel company of the future. ArcelorMittal is listed on the stock exchanges of New York (MT), Amsterdam (MT), Paris (MT), Luxembourg (MT) and on the Spanish stock exchanges of Barcelona, Bilbao, Madrid and Valencia (MTS).  For more information about ArcelorMittal please visit: http://corporate.arcelormittal.com