Data Science & AI Engineer

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:

Full time

Contract Type:

Permanent