Data & AI Engineer

Reposted 2 Days Ago
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Ramakka Block, Jaya Mahal, Bangalore, Karnataka, IND
In-Office
Junior
AdTech • Marketing Tech • Software
The Role
Build and maintain data pipelines, perform ETL/ELT, clean and prepare datasets, support reporting and dashboards, integrate LLM APIs and AI features, assist Azure deployments, and collaborate with engineering teams to deliver data-driven, AI-enabled application components.
Summary Generated by Built In

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

Location:

DGS India - Bengaluru - Manyata N1 Block

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Skills Required

  • Proficiency in Python for data processing and ETL
  • Proficiency in SQL and writing/optimizing queries
  • Experience building and maintaining data pipelines (ingest from APIs, DBs, flat files)
  • Familiarity with APIs and backend system integration
  • Familiarity with AI/ML concepts and LLM APIs
  • Exposure to Azure cloud platform and deploying data/AI workloads
  • Experience with vector databases (e.g., Azure AI Search)
  • Experience building internal tools with Retool
  • Experience with API testing tools (e.g., Postman)
  • Basic understanding of MLOps, CI/CD, and model lifecycle management
  • Knowledge of data engineering concepts (CDC, incremental loads, streaming)
  • Experience with analytics/visualization tools (Power BI, Tableau)
  • Understanding of Responsible AI practices and data governance
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The Company
HQ: London
6,507 Employees

What We Do

Dentsu Creative is a global creative agency network designed to unlock exponential growth for clients. We use Transformative Creativity as a differentiating, driving force to bring our capabilities together to positively impact people, business and society. Established in 2022, Dentsu Creative is integrated with dentsu’s Media and CXM businesses in over 145 countries and regions, to offer Integrated Growth Solutions.

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