MLOps Engineer – Enterprise AI Platform

stermedia.ai

. Build, automate, and scale production-grade AI and Machine Learning solutions .

Posted 11/6/2026full-timeRemote • PolandJuniorMid-Level💰 PLN 17,000 - PLN 21,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in MLOps and Machine Learning Engineering, with a strong focus on automating ML workflows and deploying scalable AI solutions using cloud-native technologies. Proficient in Python programming and familiar with modern tools for CI/CD, orchestration, and infrastructure management.

Highest-signal resume keywords

MLOpsPython ProgrammingDockerKubernetesCloud Provider Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning EngineeringML DeploymentAutomated Build PipelinesExperiment TrackingInfrastructure as CodeModel Lifecycle ManagementMonitoring and LoggingData Drift DetectionFeature StoresGPU-Based ML Workloads

Soft Skills

CollaborationTechnical Communication

Tools & Technologies

GitLab CIGitHub ActionsKubeflow PipelinesApache AirflowTerraformPrometheusGrafanaMLflowKServeApache Kafka

Industry Keywords

Cloud EngineeringDevOpsAI InfrastructureModel MonitoringCloud Security

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformGrafanaKafkaKubernetesPrometheusPythonPyTorchScikit-LearnSparkTensorflowTerraform

About the role

Key responsibilities & impact

Build, automate, and scale production-grade AI and Machine Learning solutions
Transform ML models into reliable, scalable, and production-ready services
Work with modern cloud-native technologies
Automate ML workflows
Improve model deployment processes
Contribute to the development of enterprise AI infrastructure
Collaborate with Data Scientists, ML Engineers, and Cloud Engineers
Ensure machine learning systems are efficiently deployed, monitored, and maintained

Requirements

What you’ll need

2+ years of hands-on experience in MLOps, DevOps, Cloud Engineering, Machine Learning Engineering, or a related field, including practical exposure to ML deployment or ML workflows
Good Python programming skills, including writing clean, maintainable, and testable code
Practical experience with Docker and deploying applications in Kubernetes environments
Hands-on experience with at least one major cloud provider: Azure, AWS, or GCP
Experience with automated build, test, and deployment pipelines using tools such as GitLab CI, GitHub Actions, or similar solutions
Understanding of ML workflows, model deployment, experiment tracking, and model lifecycle management
Familiarity with at least one orchestration tool, such as Kubeflow Pipelines, Apache Airflow, or Argo Workflows
Practical knowledge of Terraform or similar Infrastructure as Code tools
Familiarity with monitoring and logging tools such as Prometheus, Grafana, or equivalent solutions
English at B2+ level, sufficient for technical discussions, documentation, and everyday collaboration in an international environment
Nice to have: Experience with MLflow, including experiment tracking and model registry
Nice to have: Familiarity with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
Nice to have: Experience with model serving technologies such as KServe, NVIDIA Triton Inference Server, vLLM, or ONNX Runtime
Nice to have: Knowledge of GitOps and deployment automation using Argo CD or Argo Rollouts
Nice to have: Experience with data drift detection, model monitoring, or ML observability tools
Nice to have: Familiarity with Apache Kafka, Apache Spark, or distributed data processing
Nice to have: Knowledge of GPU-based ML workloads, distributed training, or inference optimization
Nice to have: Experience with feature stores such as Feast or data versioning tools such as DVC
Nice to have: Understanding of cloud security, IAM/RBAC, and secrets management

Benefits

Comp & perks

Working with new technologies from the machine learning and top-notch software development area
Budget on self-development per year
Possibility to contribute to a variety of interesting projects
Internal workshops
Personal branding (articles, conference speaker, internal workshop leader)
Flexible work hours
Remote work possibility
Chillout room / free beverages / team & company events
Friendly atmosphere
MultiSport
LuxMed