Business Data Insights Senior Specialist
A.P. Moller - Maersk (company site, opens in a new tab)5+ yrsChennaiOn-siteDirect career pageEst. 15–28 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end design, development, deployment, and maintenance of scalable data pipelines and AI/ML solutions on Azure cloud platforms.
- Build and operationalize robust ETL/ELT pipelines and integrate LLM-based generative AI models including RAG pipelines for business applications.
- Collaborate cross-functionally with business stakeholders, data scientists, and technical teams to translate requirements into production-ready AI features delivering measurable business impact.
Minimum Requirements
- 5+ years of combined experience in data engineering and AI/ML engineering with focus on Azure data and AI platforms.
- Proficiency in Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Machine Learning, and Azure OpenAI Service.
- Strong skills in SQL, Python, PySpark, and experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
- Graduate or postgraduate degree in Computer Science, IT, Data Engineering, AI, Data Science, or related field.
Ideal Candidate Profile
- Experienced in managing full data-to-AI lifecycle with proven ability to build scalable cloud data and AI platforms using Microsoft Azure stack.
- Capable of working in Agile/DevOps environments with end-to-end ownership including automation, CI/CD, and MLOps best practices.
- Comfortable engaging with diverse stakeholders to design and deliver complex data and AI solutions translating business needs into technical implementations.