AI/ML Engineer (Data Engineering + AI Focus)
A.P. Moller - Maersk (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain scalable, robust data pipelines and AI/ML solutions powering intelligent decision-making in Maersk's supply chain ecosystem.
- Design and optimize large-scale cloud-based data processing and ML systems (Azure/AWS), ensuring performance, reliability, and cost efficiency.
- Lead implementation of MLOps practices including CI/CD pipelines, model monitoring, retraining, and integrate LLM/Generative AI into production workflows.
Minimum Requirements
- 7+ years experience in Data Engineering and AI/ML engineering in production environments.
- Proficiency in Python, SQL, and Spark/PySpark for large-scale data processing; hands-on experience with cloud platforms Azure or AWS.
- Experience with MLOps frameworks, containerization (Docker), orchestration (Kubernetes), and working knowledge of LLMs/Generative AI systems.
- Work Experience Required: 7+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in translating business problems into scalable, measurable AI/ML and data engineering solutions within cloud environments.
- Skilled in system design focused on scalability, cost optimization, and reliability, especially in logistics or supply chain domains (preferred).
- Experienced mentor comfortable contributing to engineering best practices and code reviews, with practical knowledge of MLOps and production-grade AI deployments.