Point Wild (Formerly Pango Group)

MLOps Engineer

Point Wild (Formerly Pango Group)

full-time

Posted on:

Origin:  • 🇵🇱 Poland

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudCyber SecurityPythonSQL

About the role

  • Build and maintain AWS-based ML infrastructure (SageMaker, S3, Lambda, Batch)
  • Design and operate CI/CD pipelines for ML models, including versioning, containerization, and automated retraining
  • Implement monitoring, logging, metrics, and alerting for deployed models
  • Provide scalable training environments and runtime infra to support research-to-production workflows
  • Collaborate with AI and Data Engineering teams to integrate models, datasets, and features
  • Transition AI prototypes and PoCs into production-ready, scalable services

Requirements

  • Hands-on experience with AWS ML infrastructure (SageMaker, S3, Lambda, etc.)
  • Experience with containerization and automation
  • Skilled at setting up workflows for model deployment, versioning, retraining, and monitoring
  • Proficiency in Python and SQL for scripting, automation, and lightweight data handling
  • Experience with logging, metrics, and alerting for ML models in production
  • Comfortable collaborating with AI engineers and Data Engineers
  • Ability to balance rapid prototyping with building scalable, maintainable systems