Maersk
Bengaluru, Karnataka, India Posted 2d ago
You will build and scale data-intensive AI and ML solutions that power intelligent decision-making across Maersk's supply chain ecosystem within the Global Data and Analytics team.
Key Responsibilities
Partner with business and engineering teams to define scalable data and AI/ML solutions.
Design, build, and maintain robust data pipelines and data platforms using Python, Spark, and cloud services.
Develop and deploy end-to-end AI and ML solutions including data ingestion and model training.
Architect and optimize large-scale data processing systems on cloud platforms.
Implement and manage MLOps and DataOps practices including CI/CD pipelines and model versioning.
Work with LLMs and Generative AI systems using frameworks like LangChain.
Design and maintain batch and streaming data models supporting analytics.
Ensure data quality, governance, and observability across pipelines.
Collaborate with engineering teams to deploy solutions using Docker and Kubernetes.
Requirements
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
Deep experience with cloud platforms like Azure or AWS
Strong understanding of data modeling and medallion architecture
Experience with MLOps frameworks like MLflow
Practical experience with LLMs and Generative AI applications
Experience with containerization using Docker and orchestration using Kubernetes
