We are looking for: MLOps / LLMOps Engineer
General info:
- Location: Warsaw, Poland (hybrid – minimum 1 day onsite per week in city center office)
- Duration: long-term cooperation
- Salary: up to 180 PLN/h
- Start: 1st of July
Skills required:
- Minimum 3 years of experience in DevOps, MLOps or Software Engineering, including production deployment of ML models.
- Strong hands-on experience with Docker and Kubernetes (cluster management, Helm charts, Ingress).
- Deep knowledge of Microsoft Azure, especially Azure Machine Learning, AKS, and Azure Container Registry.
- Experience with CI/CD tools and pipelines (Azure DevOps, GitHub Actions, Jenkins).
- Experience building ML-specific pipelines, including model training and deployment workflows.
- Good knowledge of Python and Bash/Shell scripting.
- Hands-on experience with MLflow, Kubeflow or cloud-native MLOps solutions.
- Experience with Infrastructure as Code tools such as Terraform, Bicep or Ansible.
- Experience working with hybrid cloud/on-premise environments.
- Strong understanding of monitoring, observability, and infrastructure stability.
- Ability to work closely with Data Science and IT Operations teams.
- Strong problem-solving and automation mindset.
- Services must be provided from Poland.
Nice to have:
- Azure certifications such as AZ-400 or AI-102.
- Experience with LLM deployments and RAG architectures.
- Knowledge of Prometheus, Grafana, and Azure Monitor.
- Understanding of networking concepts in hybrid cloud environments (VPN, VNet, Private Endpoints).
- Experience with vector databases and Azure AI Search.
- Experience with governance, auditability, and AI compliance frameworks (including AI Act).
Responsibilities:
- Design, build, and maintain AI/MLOps/LLMOps platforms in Azure.
- Develop scalable environments for training and serving ML/GenAI models using Azure ML, Azure AI Foundry, and Kubernetes.
- Build and maintain CI/CD/CT pipelines for ML solutions.
- Implement automated model testing, versioning, and deployment processes.
- Prepare Docker images and manage deployments on Kubernetes clusters.
- Integrate cloud and on-premise AI environments.
- Implement monitoring, logging, alerting, and drift detection mechanisms.
- Support governance, auditability, lineage tracking, and security processes aligned with AI Act requirements.
- Optimize cloud infrastructure costs, inference performance, and scalability.
- Ensure high availability, stability, and observability of AI services.
- Work in an Agile environment focused on automation and continuous improvement.
Sounds interesting? Contact me:
- julia.lanckamer@awareson.com
- +48 600 530 122
- https://www.linkedin.com/in/julia-lanckamer-47ab1a213/
Awareson is an IT Recruitment Consultancy specializing in delivery of IT Specialists on contract and permanent basis to Customers across Europe.
