ML Ops Engineer
@ Joppy

Hybrid
€75,000
Hybrid
Full Time
Posted 4 days ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXX XXXXXXXX******* @joppy.com
Recommended after applying

Job Details

Overview

The ML Ops Engineer role at Joppy involves taking AI models from Jupyter notebooks to production quickly, securely, and at scale. This role focuses on operationalizing AI infrastructure in industrial environments.

What You’ll Do

Design, build, and maintain end-to-end ML pipelines from training to production. You will deploy and monitor ML models utilizing tools such as MLflow, Airflow, or FastAPI.

  • Implement and automate CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps.
  • Manage cloud infrastructure on AWS, GCP, or Azure with Terraform/CloudFormation.
  • Integrate ML models into industrial IoT and manufacturing systems.
  • Monitor model performance and retrain as needed while ensuring compliance.

What You Bring

You should have 5+ years of experience in ML Ops, DevOps, or Data Engineering and a strong command of Python, Docker, and Kubernetes. Experience with cloud platforms (AWS/GCP/Azure) and technologies such as Spark, Kafka, or Databricks is essential. Familiarity with IoT, SCADA, Edge AI, or industrial data pipelines is a bonus.

What They Offer

  • 100% Remote work from anywhere in the EU.
  • Competitive annual salary of €70,000 – €80,000.
  • High-impact projects with real industrial AI applications.
  • An international senior team with technical ownership and autonomy.
  • A flexible culture that values clean and scalable engineering.

About Joppy

Joppy is a technology recruitment platform built for developers by developers. With a no-CV approach and an anonymous profile by default, you have the power to choose who contacts you. Joppy ensures you only get relevant tech job offers that match your preferences.

Key skills/competency

  • ML Ops
  • DevOps
  • Data Engineering
  • Python
  • Docker
  • Kubernetes
  • CI/CD
  • Cloud Infrastructure
  • Industrial AI
  • IoT
Apply without a personalized resume

How to Get Hired at Joppy

🎯 Tips for Getting Hired

  • Research Joppy's culture: Study their mission and success stories.
  • Customize your resume: Highlight ML Ops and industrial AI experience.
  • Showcase relevant projects: Include cloud and deployment expertise.
  • Prepare for technical interviews: Review Python, Docker, and Kubernetes.

📝 Interview Preparation Advice

Technical Preparation

Review Python and Docker best practices.
Practice Kubernetes deployment scenarios.
Study cloud infrastructure setup (AWS/GCP/Azure).
Rehearse CI/CD pipeline implementation techniques.

Behavioral Questions

Describe handling production ML challenges.
Explain teamwork in remote settings.
Discuss conflict resolution experiences.
Share problem-solving examples from past projects.

Frequently Asked Questions