We are seeking an experienced MLOps / AI Ops Engineer to join our newly established DevOps & Run Team in the Data & AI CoE at Prague’s NN Digital Hub. Shape the future of enterprise AI/LLMOps , collaborate across borders, drive innovation, and grow with a competitive package and continuous learning.
Your impact at NN
Help us keep AI running smoothly. You’ll be the go-to person ensuring that models, agents, and pipelines built by our AI and Data Science teams operate securely, reliably, and efficiently—at scale.
The tasks you will perform
AI/ML & LLMOps Pipelines
Build and maintain CI/CD pipelines using Azure DevOps, Databricks Repos, and Asset Bundles
Automate model packaging, registration, and promotion with MLflow and Unity Catalog
Operationalize open-source and vendor LLMs (e.g., Llama, Azure OpenAI, Anthropic)
Support RAG pipelines with vector stores (Databricks, Azure AI Search, pgvector, FAISS)
Contribute to internal Python libraries and tooling
Monitoring & Reliability
Implement observability for data drift, model performance, and agent workflows
Integrate with Azure Monitor, Prometheus, Grafana, and Databricks dashboards
Build alerting and automated remediation for failing models and endpoints
Define and track SLOs/SLIs for uptime, latency, and retraining cadence
Explainability & Responsible AI
Apply SHAP and MLflow tools for interpretability
Ensure traceability of LLM outputs and agent decisions
Build dashboards aligned with GDPR, EU AI Act, and ethical AI guidelines
Enable human-in-the-loop reviews for critical use cases
Enforce policy-as-code guardrails across pipelines
Platform Operations
Optimize Databricks clusters, Delta Live Tables, Feature Store, and Unity Catalog
Manage hybrid inference setups across Databricks, AKS, and external APIs
Apply FinOps practices to manage GPU/CPU usage efficiently
Build reusable Terraform/Bicep modules for infrastructure provisioning
Collaboration & Improvement
Support AI Engineers and Data Scientists in productionizing experiments
Align with DevOps Engineers on shared infrastructure and tooling
Mentor squads on MLOps, LLMOps, and AgenticOps
Evaluate and integrate emerging frameworks and tools
What we expect from you
Must-Haves
Bachelor’s/Master’s in Computer Science, Data/AI Engineering, or related field.
4+ years in IT, ideally with a focus on data, machine learning, and/or operations
2+ years of hands-on experience with Python and Azure
1+ year of experience in MLOps—running ML models in production
6+ months of experience in AIOps—operating LLM-based applications in production
1+ year working with Databricks
Familiarity with CI/CD, MLflow, Unity Catalog, and containerized inference
Advanced English proficiency required for working in an international environment.
Nice to Have
Experience running pre-trained LLMs/SLMs in production environments
Understanding of observability, explainability, and responsible AI principles
Exposure to hybrid inference setups and FinOps practices
Familiarity with agent orchestration tools like LangChain, LangGraph, or Mosaic AI
Knowledge of SHAP, GDPR/EU AI Act compliance, and policy-as-code frameworks
Experience with vector databases (e.g., FAISS, pgvector, Azure AI Search)
Perks of joining NN
We allow you to work where you feel the most comfortable, whether it is in the office or from home, and we contribute to your home office expenses every month.
Enjoy Flexi Time Off: Take paid vacation days beyond the usual, with your manager’s thumbs-up - because your time, your way, just makes sense!
In addition to your base salary you will have a lump-sum meal allowance, up to CZK 20,000 in the Cafeteria per year, the possibility of arranging a MultiSport card, the possibility of contributing to supplementary pension insurance / supplementary pension savings, and a discount on life insurance.
We believe that your professional and personal growth is crucial, which is why we provide you with tailor-made professional training.
Your friends and acquaintances are a valuable source of talent for us, which is why we offer up to 60,000 CZK as a reward for recommending a suitable candidate.
A business laptop and an iPhone with a paid O2 tariff and a data package are basic tools for your work.
What is hiring process with us like
Once we review your application and English CV, Veronika (Talent Acquisition Partner) will give you a short introductory call to discuss your previous experience and the open position.
If the initial conversation goes well, you’ll be invited to two interview rounds. The first round will ideally take place in person at our Prague office (or online) with Karel (Hiring Manager, AI & Automation Manager) and Veronika. In the second round, you’ll meet several members of the team you may soon be joining.
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What We Do
NN Group is an international financial services company, active in 11 countries, with a strong presence in a number of European countries and Japan. Our roots lie in the Netherlands, with a rich history of more than 175 years. With our 16,000 employees, NN Group provides retirement services, pensions, insurance, banking and investments to approximately 19 million customers. NN Group includes Nationale-Nederlanden, NN, ABN AMRO Insurance, Movir, AZL, BeFrank, OHRA and Woonnu. NN Group opened for trading on 2 July 2014 on Euronext Amsterdam under the symbol ‘NN’ after its initial public offering (IPO). For more than 175 years, our company has merged, grown and changed, but the core of who we are has remained the same. At NN Group, we put our resources, expertise, and networks to use for the well-being of our customers, the advancement of our communities, the preservation of our planet, and for the promotion of a stable, inclusive, and sustainable economy. Our purpose is to help people care for what matters most to them. Because what matters to them matters to us.
