Data & AI Engineer

Job Description:

Profile Summary

• Strong foundation in Python and SQL for data processing
• Basic understanding of APIs, backend systems, and application integration
• Familiarity with AI/ML concepts and LLM-based tools
• Exposure to cloud platforms (Azure preferred)
• Strong analytical thinking and problem-solving ability
• Ability to work effectively in a guided, team-oriented environment

Preferred / Good to Have

• Experience with vector databases (e.g., Azure AI Search or similar)
• Exposure to cloud-native backend systems and APIs
• Basic understanding of MLOps, CI/CD, and model lifecycle management
• Knowledge of data engineering concepts (CDC, incremental loads, streaming pipelines)
• Familiarity with monitoring, observability, and performance tuning
• Understanding of Responsible AI practices and governance
• Experience with analytics tools (e.g., Power BI, Tableau)

Preferred Media Domain Experience

• Programmatic advertising systems (DSP, SSP)
• Personalization and recommendation platforms
• Identity resolution and post-cookie ecosystem
• Marketing analytics, attribution, and campaign optimization systems
• Ad-tech ecosystem – programmatic advertising (DSP/SSP), targeting, identity resolution, and campaign performance measurement

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