MLOps / AI Ops Engineer/80% HO/(w/m/d)

Job type: Permanent
Contact name: Jan Šebesta

Contact email: jan.sebesta@nemensis.cz
Job ref: 32082
Published: about 1 month ago

We are seeking an experienced MLOps / AI Ops Engineer to join our newly established DevOps & Run Team in the Data & AI CoE at Prague. Shape the future of enterprise AI/LLMOps , collaborate across borders, drive innovation, and grow with a competitive package and continuous learning.

 

 

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.

  • We understand the importance of having a work-life balance, which is why we offer 5 weeks of vacation, 5 well-being days, additional paid time off for personal and family events, and 1 volunteering day to support our community.

  • 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.