Software Engineer (Data & AIML)
A.P. Moller - Maersk (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Build the reusable data platform foundation: trusted data products, batch/streaming pipelines, governance, quality, metadata and self-service access.
- Own or contribute to architecture and production engineering across ML, GenAI and agentic AI capabilities, including deployment, guardrails, monitoring and reusable APIs or workflows.
- Enable supply-chain intelligence use cases such as forecasting, risk detection, recommendations and optimisation; help scale capabilities across products and teams.
Minimum Requirements
- Work Experience Required: 4+ years in software engineering, data engineering, AI/ML engineering or a related field.
- Strong Java and Python skills, with experience designing scalable distributed/data-intensive systems and building data pipelines, products or platforms at scale.
- Experience with data-processing technologies such as Kafka, Spark, Databricks, Flink or equivalents; relational and/or NoSQL databases; and at least one cloud platform (Azure, AWS or Google Cloud).
- Hands-on experience productionising ML models and building practical GenAI/LLM applications; understanding of RAG, embeddings, vector search, tool calling, evaluation and AI guardrails.
Ideal Candidate Profile
- Has contributed to or owned technical architecture for data or AI platforms, and prefers building reusable platform capabilities over one-off solutions.
- Combines strong data engineering and software engineering foundations with experience operating production ML and GenAI systems.
- Can work across the data-to-AI lifecycle, including governance and observability, model monitoring, security controls and human oversight; logistics or supply-chain experience is a plus.