Our mission is to ensure smooth, secure, and scalable AI operations! We are hiring an experienced MLOps/AI Ops Engineer in Prague to join our DevOps & Run Team within the Data & AI CoE.
Job purpose
Ensure the scalable, secure, and efficient deployment of machine learning models by integrating development and operations practices. Drive operationalization, reproducibility, and governance of AI assets using modern tools and cloud-native solutions.
What you will work on
Build and maintain CI/CD pipelines using Azure DevOps, Databricks, and Mlflow.
Automate model packaging, registration, and deployment workflows.
Operationalize open-source and vendor LLMs like Llama and Azure OpenAI.
Support retrieval-augmented generation pipelines with vector stores (FAISS, pgvector, Azure AI Search).
Implement monitoring, alerting, and automated remediation for AI models and agents.
Ensure observability of data drift, model performance, and agent workflows using Azure Monitor, Prometheus, and Grafana.
Apply explainability and responsible AI practices, including SHAP and GDPR compliance.
Optimize platform components such as Databricks clusters, Feature Store, and Unity Catalog.
Collaborate with AI and DevOps teams to improve infrastructure and tooling.
What we expect from you
Strong background in MLOps and AI Ops with 4+ years in IT, including 2+ years with Python and Azure.
Experience running ML models and LLM-based applications in production.
Hands-on knowledge of Databricks, MLflow, CI/CD, and containerized inference.
Familiarity with vector databases and retrieval-augmented generation techniques.
Understanding of monitoring, explainability, and responsible AI principles.
Advanced English proficiency for international teamwork.
Not flawless, but we´ve got this for you
To a large extent, we give you the flexibility to work where you feel most comfortable, whether in the office or from home. On top of that, we also contribute to your home office expenses every month.
We value work-life balance, which is why we offer flexi vacation with unlimited days off. This gives you the freedom to take time off as needed, ensuring flexibility and well-being for both personal and family needs.
On top of your base salary, you’ll enjoy an annual bonus and regular salary reviews, a monthly meal allowance, CZK 20,000 per year in the Cafeteria, the option to use a MultiSport card, and a contribution to supplementary pension savings.
We believe that your professional and personal growth is crucial, which is why we provide you with a tailor-made professional training system.
Your friends and acquaintances are a valuable source of talent for us, which is why we offer up to CZK 60,000 as a reward for recommending a suitable candidate.
A business laptop and an iPhone with a paid O2 tariff and data package are essential tools for your work, which we will provide.
What is the hiring process with us like
Once we receive your application, including your CV in English with your contact details (phone number and email address), Petra, our Talent Acquisition Partner, will review it carefully.
If your profile matches the role, Petra will reach out for a brief phone conversation to share more about the position and learn about your experience and expectations. If the role isn’t the right fit, we’ll still provide feedback.
The selection process usually includes two interview rounds, most often held online, as well as a case study. If an in‑person meeting is needed, we’ll let you know in advance.
Skills Required
- 4+ years in IT, including 2+ years with Python and Azure
- Experience running ML models and LLM-based applications in production
- Hands-on knowledge of Databricks, MLflow, CI/CD, and containerized inference
- Build and maintain CI/CD pipelines using Azure DevOps
- Familiarity with vector databases and RAG techniques (FAISS, pgvector, Azure AI Search)
- Operationalize open-source and vendor LLMs (e.g., Llama, Azure OpenAI)
- Implement monitoring, alerting, and automated remediation using Azure Monitor, Prometheus, Grafana
- Apply explainability and responsible AI practices, including SHAP and GDPR compliance
- Optimize Databricks platform components such as clusters, Feature Store, and Unity Catalog
- Advanced English proficiency for international teamwork
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.
