Senior Ai/ml Scientist

A P Moller - Maersk A P Moller - Maersk is the global leader in container shipping services The business operates in 130 countries and employs 80 000 staff An integrated container logistics company Maersk aims to connect and simplify its customers supply chains Today we have more than 180 nationalities represented in our workforce across 131 Countries and this mean we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too We are responsible for moving 20 of global trade is on a mission to become the Global Integrator of Container Logistics To achieve this we are transforming into an industrial digital giant by combining our assets across air land ocean and ports with our growing portfolio of digital assets to connect and simplify our customer s supply chain through global end-to-end solutions all the while rethinking the way we engage with customers and partners The Brief In this role as an Senior AI ML Scientist on the Global Data and Analytics GDA team you will support the development of strategic visibility-driven recommendation systems that serve both internal stakeholders and external customers This initiative aims to deliver actionable insights that enhance supply chain execution support strategic decision-making and enable innovative service offerings You should be able to design develop and implement machine learning models conduct deep data analysis and support decision-making with data-driven insights Responsibilities include building and validating predictive models supporting experiment design and integrating advanced techniques like transformers GANs and reinforcement learning into scalable production systems The role requires solving complex problems using NLP deep learning optimization and computer vision You should be comfortable working independently writing reliable code with automated tests and contributing to debugging and refinement You ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI ML solutions that align with business objectives and user needs Senior AI ML Scientist Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements We are happy to support your need for any adjustments during the application and hiring process If you need special assistance or an accommodation to use our website apply for a position or to perform a job please contact us by emailing What I ll be doing - your accountabilities Drive solution architecture using advanced techniques in machine learning and statistical modelling Design develop and implement machine learning models conduct in-depth data analysis and support decision-making with data-driven insights Develop predictive models and validate their effectiveness Support the design of experiments to validate and compare multiple machine learning approaches Research and implement cutting-edge techniques e g transformers GANs reinforcement learning and integrate models into production systems ensuring scalability and reliability Apply creative problem-solving techniques to design innovative models develop algorithms or optimize workflows for data-driven tasks Independently apply data-driven solutions to ambiguous problems leveraging tools like Natural Language Processing deep learning frameworks machine learning optimization methods and simulation Understand technical tools and frameworks used by the team including programming languages libraries and platforms and actively support debugging or refining code in projects Write and integrate automated tests alongside their models or code to ensure reproducibility scalability and alignment with established quality standards Contribute to the design and documentation of AI ML solutions clearly detailing methodologies assumptions and findings for future reference and cross-team collaboration Translate technical outputs into actionable insights for business stakeholders through storytelling data visualizations and stakeholder engagement Guide junior and associate AI ML scientists through technical mentoring code reviews and solution reviews Foundational Skills Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios AI Machine Learning Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance Data Validation and Testing Data Analysis Simulation Monte Carlo Discrete Event and or Agent-based Model Deployment Machine Learning Pipelines Deep Learning Optimization Scientific Computing Decision Modelling and Risk Analysis To understand fundamentals and can demonstrate this skill in common scenarios with guidance Technical Documentation Qualifications Requirements BSc MSc PhD in computer science data science mathematics statistics or related discipline 8 years of years of relevant experience in the field of Data Science 2 years with simulation methods Monte Carlo Discrete Event or Agent Based and respective Python libraries e g SimPy Excellent hands-on experience with Apache Spark Python and SQL Experience with collaborative development workflow IDE Integrated Development Environment Version control github CI CD e g automated tests in github actions Proven track record in working with large datasets and big data technologies to train and evaluate machine learning models Communicate effectively with technical and non-technical audiences with experience in stakeholder management Structured highly analytical mind-set and excellent problem-solving skills Self-starter highly motivated Willing to share knowledge and work as a team An individual who respects the opinion of others yet can drive a decision though the team Preferred Experiences Experience with containerization Kubernetes Docker Expertise in building cloud native applications and data pipelines Azure Databricks AWS GCP C Experience with common dashboarding and API technologies PowerBI Superset Flask FastAPI etc