Senior Machine Learning Engineer

A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs c. 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.

We're looking for a driven Senior Machine Learning Engineer to develop groundbreaking solutions in classical ML, NLP, and Deep Learning, revolutionizing global logistics. As a Senior Engineer, you will work closely with lead Machine Learning Engineers to spearhead the development and deployment of cutting-edge machine learning models. This role offers an opportunity for professional growth, allowing you to expand your skill set while making meaningful contributions to impactful projects.

Must have :

• Has hands-on experience with machine learning algorithms and libraries (e.g., TensorFlow, Keras or PyTorch) for tasks like classification, regression, clustering, and natural language processing (NLP)
• Displays a solid understanding of machine learning concepts and techniques. This includes knowledge of deep learning architectures, optimization algorithms, backpropagation, and hyperparameter tuning.
• Is comfortable debugging and analysing problems in a distributed system, including issues outside of their own sphere of technology.
• Has a penchant for simplicity and reliability.
• Is familiar with git and happy to have their contributions peer reviewed.
• Loves learning.
• Communicates clearly and kindly.

Good to Have :

Responsibilities :

Skills : Statistical Data Analysis, Data Visualization, Data Science, Python or R (Programming Language), Data Analytics, Understanding of big data technologies (e.g., Hadoop, Spark), Familiarity with cloud platforms and services (e.g., AWS, Azure).

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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