Senior DevOps ML Engineer

Job not on LinkedIn

🕒 December 13, 2025

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 45%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Madiff

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.

📋 Description

• Design, build, and maintain MLOps and DevOps infrastructure on Azure • Develop and optimise ML pipelines for deployment, monitoring, and governance • Work with Azure Databricks, MLflow, and Unity Catalog • Implement CI/CD pipelines and automated ModelOps workflows • Ensure data architecture supports governance, lineage, and schema evolution • Apply Infrastructure as Code using Terraform • Collaborate closely with AI engineers and data teams to support production ML systems • Monitor and ensure platform stability, performance, security, and compliance • Support operational readiness of ML workloads in regulated environments

🎯 Requirements

• Strong hands-on experience with Azure Databricks, including MLflow and Unity Catalog • Proven background in DevOps or MLOps for AI / ML platforms • Solid experience with Azure Cloud services • Hands-on CI/CD and pipeline automation experience • Infrastructure as Code expertise using Terraform • Strong understanding of data governance, access control, and compliance principles • Confident English for daily cooperation with international stakeholders • Nice to have Python development or scripting experience • Docker and Kubernetes knowledge • Exposure to Generative AI or broader ML workflows • Experience working in insurance or other regulated environments

🏖️ Benefits

• Solid, competitive salary • Work in multinational environment on international projects • Comprehensive healthcare • Long-term B2B contract with stable project pipeline • Fully remote model