Team / Opportunity:

Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyze data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modeling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions.

What you will do:

• Design, develop, and optimize AI-driven automated workflows to enhance business efficiency.
• Collaborate with cross-functional teams to analyse business processes and identify AI automation opportunities.
• Integrate machine learning models, NLP, computer vision, and other AI technologies into enterprise workflows.  
• Build and maintain AI pipelines, including data collection, preprocessing, model deployment, and monitoring.
• Develop customized AI tools and interfaces to enable non-technical users to leverage AI capabilities.
• Continuously monitor AI workflow performance metrics and implement improvements.
• Ensure AI systems comply with data privacy and security regulations.
• Fine-tuning experience is nice to have

What we need:

• Bachelor’s or master’s degree in computer science, AI, or a related field.  
• 2+ years of experience in AI/ML development, with proficiency in frameworks like TensorFlow/PyTorch. 
• Strong Python skills and experience with API development (REST/gRPC) and microservices architecture.  
• Hands-on experience with workflow automation tools (e.g., Dify , N8N, fastGPT, langchain).  
• Excellent problem-solving skills and a data-driven mindset.  

Preferred Qualifications:

• Experience with RPA tools (UiPath/Automation Anywhere) or low-code platforms. 
• Working knowledge of Java and Spring Boot is an added advantage 
• Knowledge of LLM application development (e.g., GPT, Claude-based solutions).  
• Experience with containerization (Docker/Kubernetes) and MLOps practices.  
• Domain expertise in AI implementation for industries like Logistic, FinTech etc...
• Freight forwarding knowledge preferred

We Offer:

Joining Maersk, you will become part of the global family of the company that moves 20% of global trade every day all the way, where one of our core values is Our Employees. It goes without saying that we value diversity in all its forms, including but not limited to: gender, age, nationality, race, sexual orientation, disability or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams.

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  [email protected].