Job Description

Company Overview: A.P. Moller - Maersk is an integrated container logistics company and member of the A.P. Moller Group. Connecting and simplifying trade to help our customers grow and thrive. With a dedicated team of over 80,000, operating in 130 countries; we go all the way to enable global trade for a growing world. From the farm to your refrigerator, or the factory to your wardrobe, A.P. Moller - Maersk is developing solutions that meet customer needs from one end of the supply chain to the other.


What Is the Opportunity

Join us at a workplace where innovation and collaboration converge to support some of the most exciting missions globally! In this position, your focus will be on crafting data and engineering solutions for the Maersk Global Data & Analytics (GDA) platform, with the goal of developing a robust master data solution. This solution is designed to empower various business-critical and end-user facing applications while shaping the future of AI/ML in logistics through the use of clean and reliable data.


Within the Maersk Global Data & Analytics (GDA) platform organization, this role places you at the forefront of pioneering technologies aimed at enhancing data quality, analytics, and ML & AI capabilities. Our team is dedicated to establishing the groundwork for seamlessly integrating data, systems, and processes. This is made possible by a scalable Digital Infrastructure, aligning with Maersk's vision to be the Global Integrator of container logistics, connecting, and simplifying customers' supply chains.


What You Can Offer Us:


As a Software Development Engineer within this organization, you will hold a crucial role showcasing both depth and breadth across key engineering competencies. This includes expertise in Systems Design and Architecture, Software Development, Testing, DevOps, Security, Analytics, Lifecycle Management, and more. Successful collaboration with subject domain experts from various fields is a key aspect of this role, contributing to the overall success of our innovative initiatives.


Responsibilities:


• Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
• Develop high-quality, production-ready code that can be used by millions of users of our applications
• Make design decisions on the basis of performance, scalability, and future expansion.
• Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
• Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
• Excellent understanding and experience of Python, Git, Kubernetes, Terraform, Keras,, PyTorch, Kubeflow, Docker, ClearML, Kubeflow, MLFlow etc.
• Hands-on experience with API frameworks like Springboot, Django, Fastapi etc.
• Design and implement software applications, libraries, and APIs that integrate machine learning components seamlessly.
• Collaborate to understand modelling requirements and translate them into effective technical solutions.
• Implement software engineering best practices, including version control, code reviews, and testing methodologies.
• Architect and optimize software systems for scalability, performance, and reliability.
• Collaborate with cross-functional teams to ensure seamless integration of machine learning models into software products.
• Troubleshoot and debug issues across the entire technology stack, from data pipelines to user interfaces.
• Participate in brainstorming sessions, technical discussions, and contribute innovative ideas to drive continuous improvement.
• Knowledge of cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) is advantageous.

Qualifications:


• Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, Machine Learning, Data Science, or a related field.
• Experience working in a research environment
• Candidates wishing to work on ML/AI projects should have a good understanding of deep learning and large-scale ML concepts
• Candidates with experience in Data Science and shipping ML models into production will be preferred for AI/ML projects
• Candidates wishing to work on Systems projects should have a good understanding and experience in systems software (e.g. database systems or distributed systems)
• At least 5 years of industry experience working on machine learning or systems software

Benefits:


• Opportunity to work on ground-breaking projects that merge machine learning and software engineering.
• Collaborative and innovative work environment that fosters creativity and professional growth.
• Access to continuous learning resources, workshops, and conferences to stay at the forefront of technology.
• Flexible work arrangements to support a healthy work-life balance.
• Exposure to diverse technologies, tools, and challenges that will expand your skill set.

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 .