Hybrid ML Data Engineer | AWS, Terraform, SageMaker

Philip Morris International

Kraków

Hybrid

PLN 144,000 - 172,000

Full time

3 days ago
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Benefits offered by this job

Life and Health insurance
Employee Pension Plan
Hybrid working model
International exposure

Job summary

Philip Morris International in Kraków, Poland, seeks a data engineering professional to build scalable data pipelines, ML workflows, and CI/CD automation, with a hybrid work pattern.

You will operate in cloud environments using Terraform, AWS, Docker, Kubernetes, and SageMaker, focusing on security, reliability, and performance.

This role offers international exposure and growth, with a permanent local contract and a diverse, global team.

Qualifications

  • 3-5 years’ experience in Data Engineering, MLOps, or ML infrastructure.
  • Hands-on with CI/CD pipelines, release management, and deployment automation.
  • Experience with Terraform and Infrastructure as Code.
  • Knowledge of AWS services (IAM, VPC, S3, CloudWatch).
  • Experience with Amazon SageMaker and container tech (Docker/Kubernetes).
  • Proficiency in Python for data and ML tasks.
  • Strong focus on reliability, monitoring and security best practices.

Responsibilities

  • Build scalable data pipelines and ML workflows to accelerate model delivery.
  • Improve platform stability via CI/CD, automation and testing.
  • Manage cloud infrastructure with Terraform and AWS.
  • Develop and operate SageMaker training and deployment workflows.
  • Build applications using Docker and Kubernetes; monitor performance.
  • Monitor reliability, security and incident management; drive improvements.

Skills

Data Eng
MLOps
ML Infra
CI/CD
Terraform IaC
AWS
SageMaker
Docker
Kubernetes
Python
Monitoring
Security
Data Modeling

Tools

Terraform
AWS
SageMaker

Job description

Philip Morris International in Kraków, Poland, seeks a data engineering professional to build scalable data pipelines, ML workflows, and CI/CD automation, with a hybrid work pattern.

You will operate in cloud environments using Terraform, AWS, Docker, Kubernetes, and SageMaker, focusing on security, reliability, and performance.

This role offers international exposure and growth, with a permanent local contract and a diverse, global team.

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