AI/ML Engineer (Data Engineering + AI Focus)

Responsibilities

• Partner with business, product, and engineering teams to define scalable data and AI/ML solutions aligned with measurable business outcomes.
• Design, build, and maintain robust data pipelines and data platforms using Python, Spark/PySpark, and cloud-native services.
• Develop and deploy end-to-end AI/ML solutions, including data ingestion, feature engineering, model training, evaluation, and production deployment.
• Architect and optimize large-scale data processing systems on cloud platforms (Azure/AWS), ensuring performance, reliability, and cost efficiency.
• Implement and manage MLOps and DataOps practices, including CI/CD pipelines, model versioning, monitoring, and automated retraining.
• Work with LLMs and Generative AI systems, integrating them into production workflows using frameworks such as LangChain, LlamaIndex, or similar.
• Design and maintain data models (batch and streaming) that support analytics, reporting, and AI use cases.
• Ensure data quality, governance, and observability across pipelines and ML systems.
• Optimize infrastructure and workloads for cost, scalability, and performance, including efficient use of compute and storage.
• Collaborate with engineering teams to deploy solutions using containerization and orchestration (Docker, Kubernetes).
• Mentor junior engineers and contribute to engineering excellence through code reviews and best practices.
• We are looking for:
• 7+ years of experience across Data Engineering and AI/ML engineering in production environments.
• Strong programming skills in Python and SQL, with hands-on expertise in Spark/PySpark for large-scale data processing.
• Deep experience with cloud platforms (Azure or AWS), including services for data engineering, ML, and distributed systems (e.g., Databricks, Synapse, EMR, S3, ADF, etc.).
• Hands-on experience in building and deploying scalable data pipelines and ML systems.
• Strong understanding of data modeling (data lakes, lakehouse, warehouse, medallion architecture).
• Experience with MLOps frameworks (e.g., MLflow) and production model lifecycle management.
• Practical experience with LLMs / Generative AI applications, including RAG, document processing, or workflow automation.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Strong understanding of system design, scalability, and cost optimization in cloud environments.
• Experience with data quality, observability, and monitoring frameworks.
• Ability to translate business problems into scalable technical solutions with measurable impact.
• Prior experience in logistics, supply chain, or operations is a plus.
• Experience in simulation, optimization, or operations research is an added advantage.

Benefits

Additional Information

Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyze data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modeling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. AI/ML Engineer (Data Engineering + AI Focus) 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 mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Engineer within the Global Data & Analytics (GDA) team, you will build and scale data-intensive AI/ML solutions that power intelligent decision-making across Maersk's supply chain ecosystem. This role combines strong data engineering foundations with applied AI/ML expertise, enabling the development of robust data pipelines, scalable ML systems, and production-grade AI applications. You will work on designing reliable data platforms, enabling high-quality data availability, and embedding advanced analytics and AI capabilities into business workflows.

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