Mid-Level MLOps Engineer

Job not on LinkedIn

🔥 13 hours ago

🇳🇱 Netherlands – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SHOP APOTHEKE EUROPE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

SHOP APOTHEKE EUROPE is a pharmacy company focused on providing healthcare and pharmaceutical services within Europe. Operating under the brand name Redcare, it emphasizes a people-first approach to pharmacy, aiming to guide individuals through their health journeys. The company is committed to sustainability, aligning its strategies with the Paris Climate Agreement to contribute positively to environmental health. SHOP APOTHEKE EUROPE also engages in public affairs, investor relations, and offers career opportunities for those interested in joining their mission-driven team.

📋 Description

• Build and operate containerized ML/AI services using orchestration platforms such as Kubernetes • Troubleshoot production issues and improve reliability, performance, and cost-efficiency of ML/AI services • Develop maintainable, well-tested Python code for production services, automation, and internal tooling • Build and improve CI/CD pipelines for testing, deployment, and model iteration • Implement data and model versioning, validation, and observability across the ML lifecycle • Contribute to technical designs and architecture decisions • Participate in code reviews • Integrate automated security checks into delivery pipelines • Follow secure software development and operations practices

🎯 Requirements

• Practical experience in MLOps, DevOps, platform engineering, or software engineering, including deploying and operating ML/AI solutions in production • Solid Python software engineering skills, including automated testing, version control, and code review • Hands-on experience with Docker and container orchestration platforms such as Kubernetes • Experience with CI/CD tools such as GitHub Actions or Jenkins • Familiarity with ML lifecycle practices including model packaging, versioning, validation, deployment, and monitoring • Familiarity with tools such as MLflow or Kubeflow welcome • Solid understanding of software architecture and secure software development and delivery practices

🏖️ Benefits

• Flexible work location when the job does not require office presence, including up to 20 days per year from anywhere within the EU • Creative team events and regular success celebrations • Professional psychological support via nilo, anonymously and free of charge • Internal and external training opportunities and professional development support • Fully funded Deutschlandticket • Urban Sports Club M membership • Various health and sports benefits