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AI/ML ScientistMaersk · China, Shanghai, Shanghai, 200003
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Maersk

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AI/ML Scientist

🗓️ Posted 2026-09-23 China, Shanghai, Shanghai, 200003 Full-time Hybrid ICT
💰 Salary Not shared 📊 Market 25,000 DKK–45,000 DKK/mo

About the Company

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. 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.

Responsibilities

  • ● Design, develop, and optimize AI-driven automated workflows to enhance business efficiency.
  • ● Collaborate with cross-functional teams to analyze 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
  • ● Key Requirements:

Requirements

  • ● Bachelor's or master's degree in computer science, AI, or a related field.
  • ● + 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.
  • ● Knowledge of LLM application development (e.g., GPT, Claude-based solutions).
  • ● Domain expertise in AI implementation for industries like Logistic, FinTech etc...
  • ● Freight forwarding knowledge preferred
  • ● 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 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] . CORE SKILLS
  • ● Data Analysis: The process of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making
  • ● Proficiency Level: Proficient
  • ● Statistical Analysis: The process of collecting and analyzing data to identify patterns and trends, and to make informed decisions.
  • ● Proficiency Level: Proficient
  • ● AI & Machine Learning: The field of artificial intelligence (AI) involves creating systems that can perform tasks that typically require human intelligence. Machine learning (ML) is a subset
  • ● of AI that uses algorithms to learn from and make predictions based on data
  • ● Proficiency Level: Proficient
  • ● Programming: Writing code to manipulate, analyze, and visualize data, often using languages like Python, R, and SQL.
  • ● Proficiency Level: Proficient
  • ● Data Science: A multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.