Data Science & AI Engineer

Dentsu Aegis Network Ltd.; India; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Dentsu Aegis Network Ltd. in Bengaluru is looking for a motivated Data Science & AI Engineer to assist in creating AI-powered solutions.

In this role, you will build and maintain data pipelines, collaborate with cross-functional teams, and support AI integration and application development.

The ideal candidate will have a strong foundation in Python and SQL, along with problem-solving abilities and familiarity with cloud platforms.

Qualifications

• 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.

Responsibilities

• Develop and maintain data pipelines for ingesting data from various sources.
• Support development of AI-powered application features.
• Write and optimize SQL queries for data extraction and transformation.

Skills

Data Processing

Python

SQL

APIs

AI/ML concepts

Analytical Thinking

Tools

Azure

Postman

Power BI

Job description

Data Science & AI Engineer page is loaded## Data Science & AI Engineer申请locations: DGS India - Bengaluru - Manyata N1 Blocktime type: 全职posted on: 发布于昨天job requisition id: R1127015**Job Description:**# Data Science & AI Engineer (Azure, GenAI, Data & Decisioning Systems)**Role Summary**We are seeking a motivated and hands-on Data Science & AI Engineer (L35) to support the development and implementation of data-driven and AI-powered solutions. This role works under the guidance of the Lead Full Stack Engineer (L40) and focuses on execution, experimentation, and delivery of data pipelines, analytics, and AI-enabled features.The ideal candidate will contribute to building, testing, and integrating data and AI components, while gaining exposure to enterprise systems and evolving toward broader technical responsibilities over time.**Core Responsibilities****Data Engineering & Processing*** Develop and maintain data pipelines for ingesting data from APIs, databases, and flat files* Implement ETL/ELT processes using Python and SQL* Perform data cleaning, transformation, and validation* Support integration of data across internal and external systems* Assist in maintaining data workflows and troubleshooting data issues**Data Analysis & Reporting*** Support development of reports, dashboards, and analytical datasets* Perform exploratory data analysis to generate insights* Prepare datasets for analytics and AI use cases* Collaborate with stakeholders to understand reporting and data needs**AI / ML Implementation*** Support development of AI-powered application features* Integrate with pre-built LLM APIs and AI services* Assist in prompt design and experimentation* Contribute to basic retrieval and knowledge-based systems* Test and evaluate AI outputs for accuracy and performance**Application & API Support*** Assist in integrating data and AI components into APIs and backend systems* Support API testing, validation, and debugging (e.g., Postman)* Collaborate with frontend and backend teams to enable data-driven features**Database Development*** Write and optimize SQL queries for data extraction and transformation* Support database schema updates and maintenance* Ensure data consistency and basic performance optimization**Cloud & Platform Support (Azure)*** Assist in deploying and managing data and AI workloads on Azure* Support configuration of cloud resources under guidance* Monitor system performance and assist in troubleshooting issues**Security & Compliance Support*** Follow secure coding practices for data and AI solutions* Assist in implementing authentication and access controls* Ensure adherence to data governance and compliance standards**Internal Tools & Platform Support (Retool)*** Assist in building and maintaining Retool applications* Support development of internal tools and dashboards* Integrate applications with APIs and data sources**Collaboration & Development*** Work closely with the Lead Full Stack Engineer (L40) on execution and delivery* Collaborate with cross-functional teams across engineering, data, and product* Participate in code reviews, design discussions, and knowledge-sharing* Continuously learn and adopt best practices in AI, data engineering, and software development**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:**全职**Contract Type:**永久