Senior Consultant - Machine Learning Engineering (m/w/d)
Leinfelden-Echterdingen, DE
EUR 76K-80K (estimate) Senior-level Full Time
Tasks
- Build multi model architectures
- Build scalable inference
- Conduct technology evaluations and adoption
- Deploy enterprise AI platforms
- Design ML system architecture
- Develop AI governance strategy
- Develop ML methods standards and best practices
- Evaluate new ML paradigms
- Implement agentic systems
- Implement edge AI
- Implement foundation models
- Implement multi-modal AI
- Lead AI transformation projects
- Maintain technology radar
- Manage project budget
- Mentor ML engineering leadership
- Operate production ML systems
- Own ML strategy
- Plan technology adoption processes
- Provide AI advisory to executives
- Provide ML engineering practice leadership
- Run demo and evaluation culture
Perks/Benefits
- Coaching
- Company doctor
- Company pension
- Employee discounts
- Employee events
- Employee participation
- Employee phone allowance
- Flexible working hours
- Good public transport access
- Health measures
- Hybrid work
- Mobility options
- Parking
Skills/Tech-stack
AI Governance | AI Platform | Adoption strategy | Agentic Systems | Architecture | Budget Management | Data Engineering | Edge Computing | Enterprise AI | Enterprise AI platform | Experimentation | Fine Tuning | Foundation Models | LLMs | MLOps | Machine Learning | Model Serving | Model Training | Monitoring | Multi-Modal | Multi-modal AI | RAG | RLHF | Scalable inference | Technology Evaluation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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