GenAI MLOps Engineer

Company Description

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™.  

Job Description

About the Role
As a GenAI MLOps Engineer on our AI Engineering team, you’ll build, deploy, and maintain the core infrastructure that powers our generative-AI products. You’ll partner closely with data scientists and software engineers to productionize LLM-based models, automate workflows, and keep services reliable and cost-effective.

Core Responsibilities (Must-Have)

1. Pipeline & CI/CD

   • Design, build, and operate repeatable ML pipelines (data prep → training → evaluation → deploy) using tools such as Airflow, Prefect, or cloud-native solutions.

   • Author automated CI/CD workflows (GitHub Actions, Azure DevOps, or Jenkins) for model code, pipelines, and container builds, including linting and automated tests.

2. Model Deployment & Serving

   • Containerize models with Docker; deploy to Kubernetes (AKS/EKS/GKE) or serverless (Cloud Run, Azure Functions).

   • Implement safe rollout patterns (canary, blue/green) to minimize risk when updating model versions.

3. Monitoring & Alerting

   • Instrument inference endpoints and pipelines with key metrics (latency, throughput) and logs.

   • Create dashboards and alerts (Prometheus/Grafana or cloud-native alternatives) to detect errors, drift, and performance regressions.

4. Cloud & Infrastructure

   • Operate core compute resources on one major cloud platform (Azure Databricks, AWS SageMaker, or GCP Vertex AI).

   • Write and maintain basic Infrastructure-as-Code (Terraform, or CloudFormation) for provisioning clusters and managed services.

5. GenAI Orchestration & Vector Retrieval

   • Use orchestration framework (e.g., LangGraph, Langfuse etc) to automate GenAI workflows.

   • Support embedding-based retrieval pipelines: collaborate on vector index maintenance and refresh processes.

6. Collaboration & Documentation

   • Work with data science to integrate new models into production.

   • Produce clear runbooks, architecture diagrams, and “on-call” guides.

Qualifications

• 5 years in DevOps/MLOps roles, including at least 3 years supporting ML or deep-learning systems.

• Hands-on with one major cloud (Azure/AWS/GCP) and experience provisioning compute for training/inference.

• Strong skills in Docker and Kubernetes or serverless deployments.

• Proven ability to author CI/CD pipelines and IaC.

• Experience with monitoring stacks (Prometheus/Grafana, Datadog, or cloud-native tools).

• Familiarity with a prompt-orchestration framework (e.g., LangChain) and core vector-retrieval concepts.

Soft Skills

• Effective communicator who can translate technical details to cross-functional teams.

• Strong problem-solver who can troubleshoot across data, model, and infrastructure layers.

• Eager to learn new tools and iterate rapidly in a fast-paced environment.

Additional Information

Growth & Nice-to-Have

• Security & Compliance: Basic API auth (OAuth/JWT), secrets management (Key Vault, AWS KMS), and data encryption.

• Testing & Validation: Data-quality checks (e.g., Great Expectations), adversarial testing, and automated model-quality gates.

• Scalability & Cost Optimization: Capacity planning, load testing (Locust, JMeter), spot-instance usage, and caching strategies (Redis).

• Reliability Engineering: Participation in on-call rotations, post-mortems, and error-budget SLOs; chaos-testing fundamentals.

• Experimentation Lifecycle: Tracking experiments and hyperparameter sweeps (MLflow, Optuna), and supporting A/B tests.

• Tooling Flexibility: Familiarity with alternative MLOps frameworks (Kubeflow, TFX) or observability stacks (OpenTelemetry).

Our Benefits

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

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

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion