Senior ML Engineer - Scalable AI Pipelines

IFS; Województwo pomorskie; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Global team

Job summary

IFS is seeking an ML Engineer to design and maintain high-performance AI/ML infrastructure, building scalable pipelines and deploying models at scale. You will collaborate with data scientists, data engineers, and DevOps to deliver production-ready solutions.

The role requires strong Python and ML framework experience, cloud and DevOps tooling, and a passion for advancing AI across our enterprise software platforms, with hybrid work options in a global company.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science or related field.
• 3+ years of software development experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong Python, data preprocessing, and feature engineering skills.

Responsibilities

• Design and maintain high-performance, scalable AI/ML infrastructure.
• Build and optimize ML pipelines for production deployment.
• Collaborate with data scientists, data engineers, and DevOps.

Skills

Python

NumPy

Pandas

Kserve

Go

C#

SQL

Azure

Terraform

Helm

CI/CD

ArgoCD

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

Education

Bachelor’s or Master’s in Computer Science, Software Engineering, Data Science or related field

Tools

Kubectl

Git

GitHub Actions

Job description

IFS is seeking an ML Engineer to design and maintain high-performance AI/ML infrastructure, building scalable pipelines and deploying models at scale. You will collaborate with data scientists, data engineers, and DevOps to deliver production-ready solutions.

The role requires strong Python and ML framework experience, cloud and DevOps tooling, and a passion for advancing AI across our enterprise software platforms, with hybrid work options in a global company.