Analyst, Business Intelligence

Auth21; Chennai District; On-site; INR 2,400,000 - 3,600,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee‑Assistance‑Program (EAP)

Job summary

NIQ is seeking a highly skilled Python & Generative AI Engineer (6–8 years) to design, build, and optimize scalable, cloud‑native AI applications. The role blends hands‑on development, system design, and applied AI engineering with emphasis on LLMs and SLMs.

The engineer will design scalable Python solutions, deploy APIs and backend services, and integrate LLMs for executive insights and recommendations. Collaboration with architects, strong testing, and CI/CD practices are required.

Qualifications

• Strong proficiency in Python and object‑oriented programming.
• Experience with SLM deployment on edge or low‑latency environments. RAG (Retrieval‑Augmented Generation), or vector databases.
• Hands‑on experience with Generative AI / SLMs and prompt engineering.
• Solid understanding of data structures, algorithms, and design patterns.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Experience with CI/CD pipelines, version control (Git), and DevOps practices.
• Knowledge of distributed systems fundamentals and microservices architecture.
• Experience with testing frameworks such as Pytest.
• Leveraged Azure OpenAI, LangChain, and vector search to build enterprise‑grade GenAI applications.

Responsibilities

• Design and develop scalable, cloud‑native applications using Python.
• Build and maintain APIs and backend services with a focus on performance, reliability, and maintainability.
• Perform automated data validation, missing value detection, duplicate analysis, and anomaly detection using Pandas and Polars.
• Develop business rule engines to identify KPI deviations, performance gaps, and data quality issues.
• Integrate Large Language Models (Azure OpenAI/Llama) to generate executive summaries, business insights, and recommendations.
• Develop and integrate Generative AI solutions, including LLM‑based applications and prompt engineering techniques.
• Contribute to the design of distributed and event‑driven systems with high availability.
• Collaborate with architects and senior engineers to implement scalable and extensible system designs.
• Implement CI/CD pipelines, automated testing, and DevOps best practices.
• Leverage AI‑assisted development tools (e.g., GitHub Copilot) to improve development efficiency.
• Ensure code quality through testing, reviews, and adherence to engineering standards.
• Monitor and optimize applications using logging, monitoring, and observability tools.
• Work closely with cross‑functional teams to deliver AI‑powered business solutions.
• SLM fine‑tuning for edge or cost‑efficient deployments

Skills

Python

Generative AI

LLMs/SLMs

Azure OpenAI

LangChain

Vector databases

RAG

Prompt engineering

CI/CD

Git

DevOps

Distributed systems

Microservices

Pytest

Cloud platforms

Docker

Kubernetes

OpenTelemetry

Education

Bachelor's degree in computer science, Engineering, or a related field

Tools

Docker

Kubernetes

Terraform

Pulumi

Prometheus

Grafana

OpenTelemetry

GitHub Copilot

Job description

Job Summary

We are seeking a highly skilled Python & Generative AI Engineer (6–8 years experience) to design, build, and optimize scalable, cloud-native AI applications. This role blends hands‑on development, system design, and applied AI engineering, with a focus on Large Language Models (LLMs) and Small Language Models (SLMs).

• Full-time

Job Description

Job Summary

We are seeking a highly skilled Python & Generative AI Engineer (6–8 years experience) to design, build, and optimize scalable, cloud-native AI applications. This role blends hands‑on development, system design, and applied AI engineering, with a focus on Large Language Models (LLMs) and Small Language Models (SLMs).

Key Responsibilities

• Design and develop scalable, cloud-native applications using Python
• Build and maintain APIs and backend services with a strong focus on performance, reliability, and maintainability.
• Performed automated data validation, missing value detection, duplicate analysis, and anomaly detection using Pandas and Polars.
• Developed business rule engines to identify KPI deviations, performance gaps, and data quality issues.
• Integrated Large Language Models (Azure OpenAI/Llama) to generate executive summaries, business insights, and recommendations.
• Develop and integrate Generative AI solutions, including LLM-based applications and prompt engineering techniques.
• Contribute to the design of distributed and event‑driven systems with high availability.
• Collaborate with architects and senior engineers to implement scalable and extensible system designs.
• Implement CI/CD pipelines, automated testing, and DevOps best practices.
• Leverage AI‑assisted development tools (e.g., GitHub Copilot) to improve development efficiency.
• Ensure code quality through testing, reviews, and adherence to engineering standards.
• Monitor and optimize applications using logging, monitoring, and observability tools.
• Work closely with cross‑functional teams to deliver AI‑powered business solutions.
• SLM fine‑tuning for edge or cost‑efficient deployments

Qualifications

• Bachelor's degree in computer science, Engineering, or a related field.
• 6–8 years of experience in software development.

Must‑Have Skills

• Strong proficiency in Python and object‑oriented programming.
• Experience with SLM deployment on edge or low‑latency environments. RAG (Retrieval‑Augmented Generation), or vector databases.
• Hands‑on experience with Generative AI / SLMs and prompt engineering.
• Solid understanding of data structures, algorithms, and design patterns.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Experience with CI/CD pipelines, version control (Git), and DevOps practices.
• Knowledge of distributed systems fundamentals and microservices architecture.
• Experience with testing frameworks such as Pytest.
• Strong debugging, problem‑solving, and analytical skills.
• Leveraged Azure OpenAI, LangChain, and vector search to build enterprise‑grade GenAI applications.

Good‑to‑Have Skills

• Familiarity with Infrastructure as Code (Terraform, Pulumi).
• Experience with LLM fine‑tuning
• Experience with SLM deployment on edge or low‑latency environments
• Experience with observability tools (Prometheus, Grafana, OpenTelemetry, etc.).
• Knowledge of polyglot persistence (SQL & NoSQL databases).
• Familiarity with AI‑assisted coding tools like GitHub Copilot.
• Exposure to containerization and orchestration (Docker, Kubernetes).
• Prior experience working in Agile/Scrum environments.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee‑Assistance‑Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job‑related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs‑ai‑safety‑policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state‑of‑the‑art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion