AIML Scientist

Shanghai - China

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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.

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:
- Bachelors or masters 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

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 .

CORE SKILLSData Analysis: The process of inspecting cleansing transforming and modeling data to discover useful information draw conclusions and support decision-makingProficiency Level: ProficientStatistical Analysis: The process of collecting and analyzing data to identify patterns and trends and to make informed Level: ProficientAI & 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 dataProficiency Level: ProficientProgramming: Writing code to manipulate analyze and visualize data often using languages like Python R and Level: ProficientData Science: A multidisciplinary field that uses scientific methods processes algorithms and systems to extract knowledge and insights from structured and unstructured Level: ProficientSPECIALIZED SKILLSData Validation and Testing: Ensuring that data is accurate and meets the required standards before it is used in analysis or Deployment: The process of making a trained machine learning model available for use in production Learning Pipelines: Automated workflows that manage the end-to-end process of training and deploying machine learning Learning: A subset of machine learning involving neural networks with many layers used to model complex patterns in Language Processing (NLP): A field of AI that focuses on the interaction between computers and humans through natural & Scientific Computing: Using Mathematical techniques and computational algorithms to solve complex problems and optimize processesDecision Modeling and Risk Analysis: Decision Modeling and Risk Analysis are methodologies used to make informed data-driven decisions under uncertainty especially when multiple factors and possible outcomes need to be Documentation: Creating and maintaining documentation that explains the functionality use and maintenance of software or of Proficiency Levels:Foundational: This is the entry level of the skill typically expected when starting a new role or working with the skill for the first time. You rely on strong manager support coaching and training as you build the capability to progress to higher proficiency : This is the level at which you are considered effective in the skill. You demonstrate more than just functional competenceyou begin to have a noticeable impact in your role by applying the skill consistently and meaningfully. You require only minimal support coaching or training to apply the skill : This is the level where you move beyond meeting expectations to actively leading influencing and delivering considerable impact across the wider business. You are seen as a role model demonstrate the skill independently and require little to no manager support.

Required Experience:

Job Description
We Offer

8. Fine-tuning experience is nice to have

Key Requirements:

- Freight forwarding knowledge preferred

Required Experience:

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

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About Company

Maersk

Maersk Line is a Danish international container shipping company and the largest operating subsidiary of the Maersk Group, a Danish business conglomerate. It is the world's largest container shipping company by both fleet size and cargo capacity, serving 374 offices in 116 countries

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