
Technical AI Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€2,367–€14,758). The listed pay band (€422–€693) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 351 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Remote - Global | €2,367/per month | €6,692/per month | €14,758/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €422/per month | €558/per month | €693/per month |
<h3>🌐 Join Modirum Platforms as a&nbsp;Technical AI Engineer <span style="font-family=&quot;Times New Roman&quot;, serif;"><em>(Azure AI &amp; Machine Learning)</em></span></h3><p></p><h4><strong>About Modirum Platforms</strong></h4><p><br>Modirum Platforms is a leading innovator in delivering secure, AI-driven solutions for Telecom, Critical Communications, Finance, Public &amp; Government, and Energy sectors. With a focus on platform development, our mission is to empower businesses by enabling them to launch, deliver, and scale services more efficiently, while maintaining trust, reliability, and innovation.</p><p></p><h4><strong>The Opportunity</strong></h4><p><br><span>Drive the design and implementation of AI solutions on Microsoft Azure to deliver measurable business outcomes. This role combines deep technical expertise in Azure AI components with strong machine learning fundamentals and modern engineering practices.</span></p><p></p><h4><strong>What You’ll Do</strong></h4><ul><li><p><span>Architect and deploy AI services using Azure OpenAI, Azure AI Search, Cognitive Services, Azure Foundry, and Azure ML</span></p></li><li><p><span>Build and fine‑tune models; implement MLOps for deployment, monitoring, and governance</span></p></li><li><p><span>Integrate AI into enterprise workflows via APIs and event‑driven patterns</span></p></li><li><p><span>Optimize prompts, retrieval, and orchestration for relevance and safety</span></p></li><li><p><span>Ensure compliance, security, and performance across the solution lifecycle</span></p></li></ul><p></p><h4><strong>What We’re Looking For</strong></h4><ul><li><p><span>Proven experience with Azure AI and Azure ML; strong Python or C# skills</span></p></li><li><p><span>Solid understanding of ML concepts (data prep, feature engineering, evaluation, drift monitoring)</span></p></li><li><p><span>Familiarity with RAG patterns, embeddings, and vector databases</span></p></li></ul><p></p><h4><strong>Nice to Have</strong></h4><ul><li><p><span>Power Platform/Dynamics 365 integration experience</span></p></li><li><p><span>Consulting background with outcome‑focused delivery</span></p></li><li><p><span>Relevant Microsoft certification (eg. AI-102, AZ-104, AZ-400, DP-100, SC-100)</span></p></li></ul><p></p><h4><strong>Why Join Us?</strong></h4><p><br>✔ Work on real-world AI products<br>✔ Learn from experienced Azure &amp; AI experts<br>✔ Flexible, remote-friendly culture<br>✔ Innovation-first environment<br>✔ Competitive salary &amp; benefits</p>
Job Details
Responsibilities
- Architect and deploy AI services using Azure OpenAI, Azure AI Search, Cognitive Services, Azure Foundry, and Azure ML
- Build and fine-tune models; implement MLOps for deployment, monitoring, and governance
- Integrate AI into enterprise workflows via APIs and event-driven patterns
- Optimize prompts, retrieval, and orchestration for relevance and safety
- Ensure compliance, security, and performance across the solution lifecycle
Requirements
- Proven experience with Azure AI and Azure ML; strong Python or C# skills
- Solid understanding of ML concepts (data prep, feature engineering, evaluation, drift monitoring)
- Familiarity with RAG patterns, embeddings, and vector databases
- Cloud architecture knowledge (CI/CD, IaC, observability)
- Ability to communicate clearly with technical and non-technical stakeholders
Skills & Technologies

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