Production ML & Cloud Platform Engineer (AWS)

Hapag-Lloyd AG; Województwo pomorskie; Hybrid; PLN 240,000 - 320,000; Full time

Benefits offered by this job

Private medical care (Medicover)

Gym card (Multisport)

Annual bonus up to 22.5%

Group life insurance

Employee capital plan (PPK)

Cafeteria benefit system (vouchers)

Hybrid work model

Relocation support

Development budget

Job summary

Hapag-Lloyd AG is seeking an experienced AI Platform Engineer within the AI Hub of DIA to lead AI transformation initiatives across our organization, focusing on productionizing cloud-native AI/ML services on AWS using Python, DevOps, and Linux runtimes.

You will work with Data Scientists and engineers to deploy scalable data products, manage CI/CD, containers, and monitoring, while ensuring robust operations and cost awareness.

Qualifications

• 5+ years of Python engineering for production systems.
• Strong AWS hands-on experience with VPC, EC2, S3, RDS, Lambda, CloudWatch ECS/EKS.
• Proven Cloud DevOps experience: CI/CD pipelines, Git workflows, Terraform, release management.
• Solid Linux skills: shell, networking basics, troubleshooting, logs/metrics, resource management.
• Experience with containerization and runtime operations.
• Experience with Python ML libraries or eagerness to learn (PyTorch, scikit-learn).
• Experience with Databricks, Apache Spark, SQL databases is a plus; MLOps like MLflow a plus.
• Ability to translate complex technical concepts for non-technical stakeholders.

Responsibilities

• Collaborate closely with Data Scientists and Data Engineers to productionalize processing, models and data products.
• Collaborate with AI Project Leads and business stakeholders to translate requirements into production-ready cloud solutions.
• Develop and maintain Python-based services, pipelines, and automation for AI/ML use cases.
• Design, build, and operate AWS/Databricks infrastructure for AI/ML workloads.
• Implement Cloud DevOps practices: CI/CD, infrastructure-as-code, automated deployments, environment management.
• Build and operate containerized workloads and API-based integrations.
• Implement monitoring, alerting, and dashboards for service health, cost, and ML signals.
• Support model lifecycle operations (versioning, deployment, retraining automation) with Data Scientists.

Skills

Python engineering

AWS

Cloud DevOps

Linux

Containerization

Python ML libraries

Databricks

Apache Spark

SQL databases

MLOps

English fluency

Tools

Databricks

Apache Spark

Terraform

MLflow

Job description

Hapag-Lloyd AG is seeking an experienced AI Platform Engineer within the AI Hub of DIA to lead AI transformation initiatives across our organization, focusing on productionizing cloud-native AI/ML services on AWS using Python, DevOps, and Linux runtimes.

You will work with Data Scientists and engineers to deploy scalable data products, manage CI/CD, containers, and monitoring, while ensuring robust operations and cost awareness.