- 2-8 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).

- Solid 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.

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📌 Associate Data Engineer-+ AI // Data Engineer + AI (Bengaluru)
🏢 A.P. Moller - Maersk
📍 Bengaluru