Senior Applied AI / ML Data Engineer (f/m/x)
Core
Designing data pipelines, implementing reproducible training/finetuning builds for GenAI edge device models, and building evaluation suites for latency, memory, hallucination, and safety.
Role type
Senior Applied AI / ML Data Engineer
Builds
GenAI edge device models, data pipelines, self-serve tools, and evaluation suites
Domain
Automotive, Generative AI, Edge Computing
Deliverable
production ML models
Required skills
Python, PyTorch, CI/CD, testing, profiling, experiment tracking, artifact registries, dataset construction, instruction tuning, preference data, synthetic data, A/B experimentation, causal inference, privacy-preserving learning, drift detection, regression testing
Preferred skills
German language proficiency
Technologies
PyTorch
Responsibilities
Design data pipelines for ingestion, curation, pseudonymization, and versioning; Implement reproducible training and finetuning builds for GenAI edge device models; Set up experiment tracking and artifact registries; Build evaluation suites covering KPIs like latency, memory, hallucination, safety, and harms; Optimize dataset construction for small LLMs; Build and operate data pipelines and provide self-serve tools
Seniority
Senior, hands-on IC