Associate Data Engineer (Data Intelligence)

What youll be doing

• Query, prepare, and clean model training datasets using SQL and Python (Pandas, NumPy) in Jupyter Notebooks.
• Execute basic feature engineering tasks under the guidance of senior engineers.
• Assist in prompt design and testing AI agents on the companys enterprise GenAI platform (Alia).
• Support the build and testing of generative AI features using LLM APIs and AI tools.
• Support API integration for machine learning models via REST APIs.
• Run model training and evaluation experiments, recording metrics and results.
• Assist with model monitoring, flagging performance or data quality issues to senior engineers.
• Document datasets, experiments, and observations to support reproducibility.
• Collaborate with AI/ML engineers, learning and applying engineering best practices.

What youll need to succeed

• Minimum 1 year of experience in data science, machine learning, or a related technical area.
• Working proficiency in Python (Pandas, NumPy) and Jupyter Notebooks.
• Working knowledge of SQL for querying and preparing data.
• Foundational understanding of machine learning concepts, feature engineering, and model evaluation.
• Exposure to generative AI and prompt design is an advantage.
• Familiarity with cloud AI platforms (Azure AI, Google Vertex AI, AWS SageMaker) and REST APIs.
• Familiarity with AI coding assistants (e.g. Claude Code, GitHub Copilot, Cursor) is an advantage.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.