Machine Learning Operations Engineer

150 - 175 PLNNet per hour - B2B

Machine Learning Operations Engineer

Other

Al. Jerozolimskie 179, Warszawa

Lumicode Sp. z o.o. (Pentacomp Group)

150 - 175 PLN
Net per hour - B2B
Full-time
B2B
Senior
Remote

Tech stack

    Polish

    C1

    English

    B2

    Docker

    advanced

    Kubernetes

    advanced

    Terraform

    advanced

    Helm

    advanced

    Python

    advanced

Job description

Who We Are

Lumicode Sp. z o.o. is part of the Pentacomp Group, a provider of IT solutions and professional IT services for large enterprises and the public sector.

As Pentacomp, we create IT solutions that combine innovation with years of experience - and we have quite a lot of it. We've been in the market for nearly 30 years and have successfully delivered many projects.


We are currently looking for a MLOps for a new project.

  • Full Remote

  • Rate up to 175 PLN/hour net + VAT (B2B contract)

  • Subsidized sports card and access to private healthcare

  • Immediate start

  • Fast recruitment process


Requirements:

  • Experience in MLOps, AI DevOps, or ML platform engineering

  • Strong knowledge of Kubernetes and Docker

  • Experience with workflow automation tools (e.g., Airflow, MLflow, Kubeflow)

  • Strong Python skills

  • Experience with Terraform, Helm, or other IaC tools

  • Hands-on experience deploying ML models in production (SageMaker, Azure ML, Vertex AI)

  • Familiarity with data pipelines, feature stores, and cloud-native architectures

  • Ability to build and maintain CI/CD for ML and work well in a team


Nice to have:

  • Experience with Prometheus, Grafana, or other monitoring tools

  • Knowledge of ML observability platforms

  • Background in compliance, governance, or model risk management


Responsibilities:

  • Build and improve MLOps pipelines for training, testing, and deploying ML models

  • Manage Kubernetes and Docker-based environments

  • Create and run workflows in Airflow, MLflow, or Kubeflow

  • Deploy and monitor ML models on cloud platforms (AWS SageMaker, Azure ML, Google Vertex AI)

  • Automate CI/CD with a focus on security and reliability

  • Collaborate with data scientists and engineering teams

Published: 14.08.2025
Office location