With a decade of experience in the maritime sector, I proudly serve as the Lead ML Engineer at CMA CGM, a global leader in container shipping ranked third worldwide. My role centers around harnessing my deep knowledge in machine learning and ML Ops to devise and implement scalable, resilient ML solutions across critical business areas such as pricing strategies, demand forecasting, and customer segmentation. I specialize in operationalizing machine learning models, ensuring their deployment, monitoring, and continuous improvement in production environments.Working alongside a dynamic team of ML Engineers and Data Scientists, I actively contribute to CMA CGM's commitment to delivering innovative and eco-friendly transport solutions. Our collective efforts aim to boost operational effectiveness, profitability, and environmental stewardship through robust, production-ready ML systems.Key Areas of Responsibility:Leadership & Team Management: Spearheading teams and driving project success, ensuring effective management and leadership.Strategy & Innovation: Developing strategic initiatives, driving research efforts, and fostering a culture of innovation within the team.ML Ops Expertise: Overseeing the full lifecycle of machine learning projects, from model development to deployment, monitoring, and scaling. Ensuring smooth integration with existing systems, automated workflows, and continuous feedback loops.Technical Mastery & Development: Building sophisticated models, extracting meaningful insights from data, and managing data pipelines and architecture.Engagement & Collaboration: Engaging with key stakeholders and encouraging cross-departmental collaboration to achieve shared objectives.Quality Assurance & Governance: Upholding the highest standards of quality, governance, and compliance, ensuring best practices across all projects.Continuous Learning: Committed to continual growth by embracing new technologies, methodologies, and industry trends.KPI Management: Establishing and monitoring key performance indicators to assess and enhance project efficiency and outcomes.