Company Description

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing current 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.

Job Description

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.
Key Responsibilities
1. 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.

2. Model Deployment & Serving
• Containerize AI/ML workloads using Docker.
• Deploy and manage ML inference workloads on:• Kubernetes (AKS/EKS/G

📌 GenAI Engineer (Pune)
🏢 Nielseniq
📍 Pune