Damco Spain SL
Senior AI/ML Engineer– Global Data Analytics, Technology (Maersk)
A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.
Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this means we have an elevated level of responsibility to continue to build an inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.
We are responsible for moving 20% of global trade & are on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners.
About the Role
We are seeking a Senior AI/ML Engineer to join Maersk’s Global Data & AI (GDA) team. This role is central to building and scaling our Generative AI (GenAI) and Machine Learning (ML) capabilities, enabling innovative AI-driven solutions that transform customer experience, operational efficiency, and decision-making across Maersk’s global ecosystem. As a Senior MLE, you will design, implement, and productionize advanced ML/GenAI models, while driving architectural decisions, best practices, and reusable frameworks to accelerate AI adoption. You will collaborate with data scientists, ML engineers, product teams, and business stakeholders to deliver enterprise-grade, reliable, and scalable AI systems. Key Responsibilities
ML & GenAI Development: Architect, build, and optimize machine learning and generative AI models (LLMs, RAG pipelines, embeddings, transformers) for large-scale enterprise applications. Engineering Excellence: Develop modular, reusable ML/GenAI components, APIs, and services to enable rapid experimentation and productionization. End-to-End Ownership: Drive the lifecycle from model research, training, fine-tuning, and evaluation, through deployment, monitoring, and continuous improvement. Scalability & Performance: Ensure ML systems are robust, efficient, and production-ready, leveraging distributed systems, MLOps, and modern data platforms. Collaboration: Partner closely with product, platform, and business teams to identify opportunities, gather requirements, and deliver impactful AI solutions. Thought Leadership: Mentor junior engineers, contribute to technical strategy, and champion best practices in ML/GenAI, coding, and architecture. Innovation: Explore and apply emerging techniques in LLMs, retrieval-augmented generation, prompt engineering, embeddings, and multimodal AI. Required Qualifications
Education: BTech or MTech degree in computer science, Engineering, Mathematics, or related field. Experience: 8+ years of relevant experience in Machine Learning/AI, with demonstrated expertise in designing and deploying production ML/GenAI systems. Strong programming skills in Python and familiarity with modern ML/GenAI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, etc.). Experience with Agentic AI frameworks/orchestrators like langchain, langgraph, CrewAI, Agno etc. Experience with LLMs, RAG, embeddings, transformers, and related GenAI techniques. Proficiency in MLOps practices (CI/CD for ML, model monitoring, model lifecycle management) using tools like MLflow, Kubeflow, or similar. Strong knowledge of cloud platforms (Azure preferred; AWS/GCP experience acceptable) and container/orchestration technologies (Docker, Kubernetes). Proven ability to translate business problems into technical AI/ML solutions. Excellent communication, collaboration, and problem-solving skills Preferred Skills
Experience building enterprise-grade AI applications (e.g., intelligent assistants, contextual search, recommendation systems, document intelligence). Exposure to big data technologies (Spark, Hadoop, Databricks). Experience with vector databases (FAISS, Pinecone, Weaviate, etc.). Knowledge of data privacy, security, and compliance in AI solutions. Track record of patents, publications, or innovative projects in GenAI/ML. What We Offer
The opportunity to shape Maersk’s AI-first transformation in a globally impactful role. Work with a cutting-edge tech stack in ML and GenAI. A collaborative, diverse, and global environment. Career growth with continuous learning and innovation. 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.
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We are seeking a Senior AI/ML Engineer to join Maersk’s Global Data & AI (GDA) team. This role is central to building and scaling our Generative AI (GenAI) and Machine Learning (ML) capabilities, enabling innovative AI-driven solutions that transform customer experience, operational efficiency, and decision-making across Maersk’s global ecosystem. As a Senior MLE, you will design, implement, and productionize advanced ML/GenAI models, while driving architectural decisions, best practices, and reusable frameworks to accelerate AI adoption. You will collaborate with data scientists, ML engineers, product teams, and business stakeholders to deliver enterprise-grade, reliable, and scalable AI systems. Key Responsibilities
ML & GenAI Development: Architect, build, and optimize machine learning and generative AI models (LLMs, RAG pipelines, embeddings, transformers) for large-scale enterprise applications. Engineering Excellence: Develop modular, reusable ML/GenAI components, APIs, and services to enable rapid experimentation and productionization. End-to-End Ownership: Drive the lifecycle from model research, training, fine-tuning, and evaluation, through deployment, monitoring, and continuous improvement. Scalability & Performance: Ensure ML systems are robust, efficient, and production-ready, leveraging distributed systems, MLOps, and modern data platforms. Collaboration: Partner closely with product, platform, and business teams to identify opportunities, gather requirements, and deliver impactful AI solutions. Thought Leadership: Mentor junior engineers, contribute to technical strategy, and champion best practices in ML/GenAI, coding, and architecture. Innovation: Explore and apply emerging techniques in LLMs, retrieval-augmented generation, prompt engineering, embeddings, and multimodal AI. Required Qualifications
Education: BTech or MTech degree in computer science, Engineering, Mathematics, or related field. Experience: 8+ years of relevant experience in Machine Learning/AI, with demonstrated expertise in designing and deploying production ML/GenAI systems. Strong programming skills in Python and familiarity with modern ML/GenAI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, etc.). Experience with Agentic AI frameworks/orchestrators like langchain, langgraph, CrewAI, Agno etc. Experience with LLMs, RAG, embeddings, transformers, and related GenAI techniques. Proficiency in MLOps practices (CI/CD for ML, model monitoring, model lifecycle management) using tools like MLflow, Kubeflow, or similar. Strong knowledge of cloud platforms (Azure preferred; AWS/GCP experience acceptable) and container/orchestration technologies (Docker, Kubernetes). Proven ability to translate business problems into technical AI/ML solutions. Excellent communication, collaboration, and problem-solving skills Preferred Skills
Experience building enterprise-grade AI applications (e.g., intelligent assistants, contextual search, recommendation systems, document intelligence). Exposure to big data technologies (Spark, Hadoop, Databricks). Experience with vector databases (FAISS, Pinecone, Weaviate, etc.). Knowledge of data privacy, security, and compliance in AI solutions. Track record of patents, publications, or innovative projects in GenAI/ML. What We Offer
The opportunity to shape Maersk’s AI-first transformation in a globally impactful role. Work with a cutting-edge tech stack in ML and GenAI. A collaborative, diverse, and global environment. Career growth with continuous learning and innovation. 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.
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