AI Engineer — ML Ops, GPU Infrastructure & Production

MagentaTeam; Województwo mazowieckie; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

No dress code

Insurance packages (medical, sport, l&

Preferential terms for products andos

Job summary

MagentaTeam is seeking an experienced AI Engineer to design, deploy, and maintain AI/ML solutions in production. The role blends ML Engineering, MLOps, and GPU infrastructure administration to support training and inference workloads.

Responsibilities include building pipelines, automating training/deployment/monitoring, managing ML lifecycle, collaborating with data scientists and engineers, optimizing GPU resources, and documenting best practices.

Qualifications

• Minimum 3 years of experience in AI/ML projects.
• Strong proficiency in Python.
• Hands-on experience with PyTorch or TensorFlow; Scikit-learn.
• Experience with MLOps technologies such as MLflow.
• Experience with Docker and Kubernetes.
• Experience with distributed AI/ML environments and compute clusters.
• Good understanding of cloud platforms (Azure, AWS, or GCP) or on‑premise systems.
• English proficiency at B2 level or higher.
• Ability to translate business requirements into technical implementations.
• Analytical mindset with problem-solving approach.
• Passion for experimenting with emerging AI technologies.
• Strong organizational and collaboration skills in Agile environments.

Responsibilities

• Design and develop AI and Machine Learning solutions.
• Build and maintain MLOps pipelines (CI/CD for ML models).
• Automate model training, deployment, and monitoring processes.
• Manage the end-to-end machine learning lifecycle (ML Lifecycle Management).
• Collaborate closely with Data Scientists, Software Engineers, and business stakeholders.
• Optimize computational resource utilization, particularly GPU-based environments.
• Monitor model performance, quality, and data drift.
• Contribute to the design of AI architectures on cloud platforms.
• Create technical documentation and establish engineering best practices.

Skills

Python

MLOps

Docker

Kubernetes

PyTorch

TensorFlow

Scikit-learn

Git

Cloud platforms

English (B2+)

RAG

Vector databases

Agentic AI

Spark/Databricks/Ray

Education

Tools

MLflow

Docker

Kubernetes

Ray

Kubeflow

NVIDIA GPU Operator

KServe

Git

Job description

MagentaTeam is seeking an experienced AI Engineer to design, deploy, and maintain AI/ML solutions in production. The role blends ML Engineering, MLOps, and GPU infrastructure administration to support training and inference workloads.

Responsibilities include building pipelines, automating training/deployment/monitoring, managing ML lifecycle, collaborating with data scientists and engineers, optimizing GPU resources, and documenting best practices.