AI-ingenjör inom IT
Core
Build and deploy AI solutions in Microsoft Azure to engineer processes and improve product data quality.
Role type
Applied AI Engineer (LLM & MLOps)
Builds
Production AI models, MCP servers, and AI pipelines integrated with engineering systems (PLM).
Domain
Engineering / Manufacturing / Cloud AI
Deliverable
production ML models
Required skills
Python, LLM development (RAG, agents), Microsoft Azure, API design, SQL, MLOps/LLMOps, data preparation, model tuning
Preferred skills
MCP experience, PyTorch, Hugging Face, C#/.NET, TypeScript, Azure AI Foundry, Azure Machine Learning, Docker, AKS, Azure DevOps, PLM systems
Technologies
Microsoft Azure, Python, PyTorch, Hugging Face, C#/.NET, TypeScript, Docker, AKS, Azure DevOps, Azure AI Foundry, Azure Machine Learning, Azure Functions, App Service, SQL
Responsibilities
Identify and analyze AI use cases with business stakeholders; Design and develop end-to-end solutions from architecture to deployment; Fine-tune and evaluate AI models (LLMs, classification); Develop and maintain AI pipelines, APIs, and integrations; Build MCP servers connecting AI assistants to engineering systems; Implement MLOps/LLMOps practices for lifecycle management; Ensure compliance with data governance and responsible AI principles; Support user adoption of AI tools.
Seniority
Mid-Senior, hands-on IC