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You will be updated with latest job alerts via emailAbout the Role
As a GenAI MLOps Engineer on our AI Engineering team youll build deploy and maintain the core infrastructure that powers our generative-AI products. Youll 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)
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.
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.
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.
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.
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.
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
About NIQ
NIQ is the worlds 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.
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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: Work :
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Employment Type :
Full-time
Full-time