Analyse large and complex data sets using statistical techniques and machine learning algorithms.
Develop timeseries models and predictive models using various machine learning techniques such as regression, clustering, classification, and neural networks.
Experience with building application using OpenAI and Opensource Large Language models (LLM)
Experience working on document parsing problems using opensource tools/models (Document AI)
Develop and validate models to optimize warehouse operations.
Collaborate with cross-functional teams to design and implement data-driven solutions.
Extract, clean, and transform raw data from multiple sources for analysis.
Continuously monitor and improve the performance of predictive models.
Stay up to date with the latest trends and technologies in data science and machine learning.
Essential Qualifications:
MSc degree in Computer Science, Statistics, Mathematics, Operational Research or a related field and at least 2 years of working experience.
Strong programming skills in object-oriented programming, knowledge of SQL and version control software.
Experience with machine learning libraries such as scikit-learn, XGBoost, CatBoost, Pytorch and Transformers
Strong analytical skills and the ability to work with large and complex data sets.
Excellent communication skills and the ability to work in cross-functional teams.
The ideal candidate also has the following experience:
Experience working with Gen-AI and Document AI
Experience with cloud deployment of batch models using e.g., docker, MLFlow, and K8.
Experience with supply chain management, logistics and warehouse operations is plus
Experience implementing one or more optimization algorithms like Genetic, Simulated Annealing, Ant Colony, Linear programming, Mixed Integer programming, Particle Swarm etc.
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.
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