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1584015_MLOps Engineer
  • Wrocław
1584015_MLOps Engineer
Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
Spline
13. 11. 2025
Informacje o stanowisku

Wrocław, Dolnośląskie, Poland

Role

Software Engineer, Platform - Wrocław, Poland

Responsibilities

  • Budowa i utrzymanie end-to-end ML pipelines (trening, deploy, monitoring) w AWS.
  • Automatyzacja CI/CD dla ML oraz orkiestracja (SageMaker Pipelines/Kubeflow).
  • Konteneryzacja i wdrożenia: Docker + Kubernetes (ECS/EKS).
  • Rejestrowanie eksperymentów i modeli (MLflow / SageMaker Model Registry).
  • Monitoring modeli i drift (SageMaker Model Monitor / custom).
  • Przepływy danych: Glue/EMR/Spark (PySpark).
  • IaC: Terraform / CloudFormation, zgodnie z AWS security best practices.

Wymagania (Requirements)

  • 5+ lat w MLOps / ML Engineering.
  • AWS: SageMaker, Lambda, ECR, ECS/EKS, S3, Step Functions.
  • CI/CD: GitHub Actions / GitLab / Jenkins / CodePipeline.
  • Python + frameworki PyTorch / TensorFlow / scikit-learn.
  • Observability: CloudWatch / Prometheus / ELK / Datadog.
  • Bezpieczeństwo AWS: IAM, VPC, KMS, Secrets Manager, PrivateLink.

Key Qualifications

  • 5+ years in MLOps / ML Engineering.
  • AWS: SageMaker, Lambda, ECR, ECS/EKS, S3, Step Functions.
  • CI/CD: GitHub Actions / GitLab / Jenkins / CodePipeline.
  • Python + PyTorch / TensorFlow / scikit-learn.
  • Observability: CloudWatch / Prometheus / ELK / Datadog.
  • AWS Security: IAM, VPC, KMS, Secrets Manager, PrivateLink.

Additional

Tags: #MLOps #AWS #SageMaker #Kubernetes #Docker #CICD #MLflow #Kubeflow #Python #PyTorch #TensorFlow #Spark #Terraform #CloudWatch #IAM

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