Senior KI-Entwickler*in / AI Engineer (m/w/d)
Core
Developing and integrating Machine Learning and Deep Learning models, specifically using graph-based structures, Computer Vision, NLP, and Predictive Analytics, into existing systems within network infrastructure environments.
Role type
Senior Machine Learning Engineer (Graph AI & Infrastructure)
Builds
Production ML models, data pipelines, and automated workflows for network infrastructure and energy supply sectors.
Domain
Energy supply / Telecommunications / Network Infrastructure
Deliverable
production ML models
Required skills
Graph Neural Networks (GNN), Graph-based models, Cloud platforms (Azure, AWS, GCP), Data pipelines, MLOps (training, monitoring, versioning, lifecycle management), API integration, Microservices, Analytical thinking, Problem-solving
Preferred skills
Edge AI, Mobile model deployment, Docker, Kubernetes, CI/CD pipelines, Generative AI (LLMs, RAG), Big Data, Energy/Telecom industry knowledge
Technologies
Azure, AWS, GCP, Docker, Kubernetes, LLMs, RAG
Responsibilities
Develop and implement ML/Deep Learning models based on graph structures; Integrate AI models into existing systems and process workflows; Establish and evolve MLOps processes from training to lifecycle management; Analyze technical data and processes to identify optimization potentials; Collaborate with business and product teams to deliver innovative AI solutions.
Seniority
Senior, hands-on IC
