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:

• 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)
• A solid understanding of machine learning concepts and techniques is essential. This includes knowledge of deep learning architectures, optimization algorithms, backpropagation, and hyperparameter tuning.
• Experience querying databases and using statistical computer languages like Python, R are necessary. 
• Ability to preprocess and clean data from various sources (structured and unstructured) using tools like Pandas, NumPy, or dplyr.
• 5+ year's experience in ML, NLP, and Deep Learning.

Good to Have: 

• Knowledge of the Observability domain, understanding the context, and customizing the language model accordingly.
• Exposure to advanced imputation, feature engineering, re-training and hyper parameter tuning.
• Experience visualizing/presenting data for stakeholders. 

Responsibilities: 

• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Selecting features, building and optimizing machine learning algorithms that impact the business 
• Build and deploy machine learning models for predictive and prescriptive analytic. 
• Monitoring model performance and creating alerts for any data leakage
• Defining validation framework and establish a process to ensure acceptable data quality criteria.
• Strong written, verbal, and presentation skills with the ability to present complex concepts in easy-to-understand language.
• Stay updated with the latest developments in data science and machine learning.

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.

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  accommodationrequests@maersk.com.