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Job Description
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.

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

Key Requirements:
Essential Qualifications:
- 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.
- 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