NielsenIQ
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Pimpri-chinchwad · On-site · 5-8 Yrs · Sep 25
Information Technology Support Services · 10000+ Employees · Chicago, US
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.
Hiring: Engineering
What employees say
+ Good Salary CAB facility Nice office Good exposure
− In process of building up, going IPO, Not completely in that state.
More reviews on the company profile.
Interview experience · Cyber Security Analyst
round1 - aptitude round2 - coding(2 ques easy - medium difficulty) round3(final) - tech + hr - basic cyber security terms and questions from the resume Why do u want to nielsenIQ? WHat do u know abt the company?
Easy difficulty · Chennai · 267 reports
More interview insightsJob description
Overview
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth.
Responsibilities
- We are seeking a highly skilled GenAI MLOps Engineer to join our AI Engineering team. In this role, you will design, build, deploy, and operate the core infrastructure powering our Generative AI and Machine Learning solutions. You will collaborate closely with Data Scientists, AI Engineers, Platform Engineers, and Software Development teams to productionize LLM-based applications, automate workflows, optimize infrastructure, and ensure scalable, secure, and cost-effective AI operations.
- The ideal candidate possesses strong expertise in cloud-native MLOps, model deployment, CI/CD automation, Kubernetes, Infrastructure-as-Code, and modern GenAI orchestration frameworks.
- ML Pipeline Engineering & CI/CD
- Design, build, and maintain end-to-end ML pipelines covering:• Data ingestion
- Data preprocessing
- Model training
- Evaluation
- Deployment
- Monitoring
- Develop scalable workflow orchestration using tools such as:• Airflow
- Prefect
- Azure ML Pipelines
- SageMaker Pipelines
- Vertex AI Pipelines
- Build and maintain automated CI/CD pipelines using:• GitHub Actions
- Azure DevOps
- Jenkins
- Automate code quality checks, security scanning, testing, model validation, and deployment processes
- Model Deployment & Serving
- Containerize AI/ML workloads using Docker
- Deploy and manage ML inference workloads on:• Kubernetes (AKS/EKS/GKE)
- Serverless platforms
- Cloud-native AI services
- Implement advanced deployment strategies including:• Canary deployments
- Blue-Green deployments
- Shadow deployments
- A/B testing
- Support deployment of LLMs, RAG systems, and AI agents into production environments
- Monitoring, Observability & Reliability
- Implement observability for AI systems through logs, metrics, and distributed tracing
Qualifications
- 5+ years of experience in DevOps, Platform Engineering, SRE, or MLOps roles
- Minimum 3+ years supporting Machine Learning, Deep Learning, or AI production systems
- Proficient in Databases specially Graph Db like Neo4j, memgraph (NosQL and SQL
- Must be able to do Data Modelling
- Must know about Embeddings, Vector Database, Semantic Search
- Must have scripting and automation skills using Python, Golang, Bash, or similar languages
- Strong hands-on expertise with one major cloud platform (Azure, AWS, or GCP)
- Strong experience with:• Docker
- Kubernetes
- Container orchestration
- Proven expertise building CI/CD pipelines
- Hands-on experience with Infrastructure-as-Code tools
- Working knowledge of:• LLMs
- Prompt engineering
- RAG architectures
- Vector databases
- GenAI orchestration frameworks
- Hands-on experience supporting production LLM applications
- Familiarity with GPU infrastructure and optimization
- Knowledge of Responsible AI, AI governance, and security best practices.• Relevant cloud certifications (Azure, AWS, or GCP) are a plus
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
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Job application FAQ
Last updated 30 September 2026
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- Is GenAI Engineer - Database remote or on-site in Pimpri-Chinchwad, Maharashtra?
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- What skills matter for this GenAI Engineer - Database role at NielsenIQ?
- This is a mid-level GenAI Engineer - Database role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.