Join Modirum Platforms as aTechnical AI Engineer (Azure AI & Machine Learning)
About Modirum Platforms
Modirum Platforms is a leading innovator in delivering secure, AI-driven solutions for Telecom, Critical Communications, Finance, Public & 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.
The Opportunity
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.
What You’ll Do
- 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
What We’re Looking For
- 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
Nice to Have
- Power Platform/Dynamics 365 integration experience
- Consulting background with outcome‑focused delivery
- Relevant Microsoft certification (eg. AI-102, AZ-104, AZ-400, DP-100, SC-100)
Why Join Us?
- Work on real-world AI products
- Learn from experienced Azure & AI experts
- Flexible, remote-friendly culture
- Innovation-first environment
- Competitive salary & benefits
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
